The statistic depicts the factors identified as driving public cloud engagement in the United States, both in 2017, at the time of the survey, and a prediction for 2020. According to the survey, 66 percent of respondents indicated that artificial intelligence (AI) and machine learning would likely drive public cloud engagement in 2020, compared with 50 percent who said it currently drives public cloud engagement.

The autonomous vehicle (AV) market is experiencing explosive growth, projected to reach $41.10 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 22.75% from 2025 to 2033. This surge is driven by several key factors. Advancements in sensor technology, artificial intelligence, and machine learning are enabling more sophisticated and reliable self-driving capabilities. Furthermore, increasing consumer demand for enhanced safety and convenience, coupled with the potential for significant efficiency gains in transportation and logistics, fuels market expansion. Government initiatives promoting AV development and infrastructure investments, particularly in North America and Europe, are also playing a crucial role. The market is segmented into semi-autonomous and fully autonomous vehicles, with fully autonomous vehicles expected to dominate market share in the long term due to their potential to revolutionize transportation. Leading players like Uber, Waymo, Tesla, and several major automotive manufacturers are aggressively investing in research and development, fueling competition and innovation. Challenges remain, however, including regulatory hurdles, cybersecurity concerns, and the need for robust infrastructure to support widespread AV deployment. Despite these challenges, the long-term outlook for the AV market remains exceptionally positive. The continuous refinement of AV technology, coupled with decreasing production costs, will likely lead to wider adoption across various sectors, including passenger transportation, ride-sharing services, and logistics. The Asia-Pacific region is poised for significant growth, driven by increasing urbanization and rising disposable incomes. While North America and Europe currently hold larger market shares, the Asia-Pacific region's growth potential is substantial and will likely reshape the global market landscape in the coming years. The development of comprehensive safety standards and regulations will be pivotal in ensuring public trust and accelerating market penetration. Ultimately, the convergence of technological advancements, supportive government policies, and increasing consumer demand will pave the way for a transformative shift in the transportation landscape. Recent developments include: In April 2021, Toyota Motor Corp. unveiled new versions of Lexus LS and Toyota Mirai in Japan, both equipped with Advanced Drive features of a Level 2 autonomous system that helps keep the car in its lane, maintain distance from other vehicles, assist with lane changes, and offer advanced-driver assistance., In March 2021, Volvo Group signed an agreement with NVIDIA to jointly develop the decision-making system of autonomous commercial vehicles and machines. Utilizing NVIDIA's end-to-end artificial intelligence platform for training, simulation, and in-vehicle computing, the resulting system will be designed to handle fully autonomous driving on public roads and highways safely., In February 2021, Aurora announced that it had entered into a strategic collaboration with Toyota and Denso to build and deploy self-driving cars on a large scale. The collaboration will develop and test driverless vehicles equipped with the Aurora Driver, starting with the Toyota Sienna. By the end of 2021, companies expect to begin testing an initial fleet of Siennas., In January 2021, Microsoft partnered with General Motors to help bring GM's robotaxi startup Cruise's autonomous vehicles to the road. Microsoft, Honda, and other investors invested more than USD 2 billion into the company., In January 2021, Baidu Apollo announced that the California Department of Motor Vehicles (DMV) had issued a permit to Baidu. The permit will authorize the company to test driverless vehicles on public roads in the state.. Notable trends are: Semi-autonomous Cars Segment Anticipated to Gain Significance during the Forecast Period.

Google Drive

## Overview

Google Drive is a dataset for object detection tasks - it contains Fireandsmoke annotations for 1,548 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

After reviewing community feedback, Austin Public Works and Austin Transportation are moving forward with the construction of Sidewalk Option 2 - a sidewalk along the north side of Austin Woods Drive between Mesa Drive and Tallwood Drive.

The autonomous vehicle (AV) market is poised for significant growth, projected to reach a substantial size driven by technological advancements, increasing demand for enhanced safety and efficiency in transportation, and supportive government regulations. The market's Compound Annual Growth Rate (CAGR) of 22.75% from 2019 to 2033 indicates a rapid expansion, transforming the automotive landscape. Key market drivers include the development of sophisticated sensor technologies (LiDAR, radar, cameras), advancements in artificial intelligence (AI) and machine learning for improved navigation and decision-making, and the rising adoption of connected car technologies that facilitate data sharing and infrastructure integration. Furthermore, increasing urbanization and congestion in major cities are fueling the demand for autonomous solutions that offer improved traffic flow and reduced commute times. The market segmentation, comprising semi-autonomous and fully autonomous vehicles, reflects varying levels of technological maturity and consumer adoption. Leading players like Waymo, Tesla, and several established automakers are investing heavily in research and development, fostering competition and driving innovation within the sector. While challenges remain, such as regulatory hurdles, public perception, and ethical considerations surrounding AI-driven decision-making, the long-term growth prospects for the AV market remain highly promising. The market's growth trajectory is expected to accelerate in the coming years, fueled by continued investment in research and development, improvements in battery technology for electric autonomous vehicles, and the expansion of infrastructure designed to support autonomous driving. The Asia-Pacific region, with its large population and rapidly growing economies, is anticipated to witness particularly strong growth. The competitive landscape is characterized by both established automotive manufacturers and technology companies, leading to strategic partnerships and collaborations that are accelerating innovation and market penetration. The successful integration of AVs into existing transportation systems, addressing concerns about cybersecurity and data privacy, and building public trust will be crucial factors in shaping the market's future development. By 2033, the market is projected to be significantly larger than its 2025 value, representing a substantial transformation in the global transportation industry. This in-depth report provides a comprehensive analysis of the autonomous vehicle market, projecting its trajectory from the historical period (2019-2024) through the forecast period (2025-2033), with a base year of 2025 and an estimated year of 2025. The report delves into market size (in millions of units), key segments, and influential players, offering invaluable insights for businesses, investors, and policymakers navigating this rapidly evolving landscape. This report examines the interplay of technological advancements, regulatory frameworks, and consumer adoption, offering a nuanced understanding of the future of autonomous driving. Key drivers for this market are: Increasing Aluminium Use in Die Casting Equipment is Likely to Drive Demand for the Die-Casting Market. Potential restraints include: High Raw Material Prices May One of The Factors That Hindering Target Market Growth.. Notable trends are: Semi-autonomous Cars Segment Anticipated to Gain Significance during the Forecast Period.

Self Driving Car Market Outlook

The global self-driving car market size is anticipated to witness substantial growth over the next decade, with market valuation projected to reach $98.2 billion in 2023 and forecasted to surpass $500 billion by 2032, exhibiting a robust CAGR of 20.5% during the period. This remarkable growth is primarily driven by advancements in artificial intelligence, increased investment in automotive technology, and rising demand for autonomous mobility solutions.

One of the significant growth factors contributing to the expansion of the self-driving car market is the continuous advancements in AI and machine learning. These technologies are vital for improving the decision-making capabilities of autonomous systems, allowing for safer and more efficient navigation. Additionally, the increasing integration of advanced driver-assistance systems (ADAS) and the proliferation of connected car technologies have further spurred the development and adoption of self-driving vehicles.

The economic benefits associated with self-driving cars also play a crucial role in market growth. Autonomous vehicles are expected to reduce transportation costs significantly by minimizing the need for human drivers and optimizing fuel efficiency through more intelligent driving patterns. This economic appeal has attracted substantial investments from both public and private sectors, further accelerating technological advancements and market penetration.

Another important factor driving the market is the growing consumer demand for improved safety and convenience. Self-driving cars promise to reduce the number of road accidents caused by human error, thereby enhancing overall road safety. Moreover, the convenience of autonomous vehicles offers significant advantages for daily commuters and long-distance travelers alike, making self-driving cars an attractive option for various consumer segments.

The advent of Automatically Driving Car technology is reshaping the landscape of transportation, offering unprecedented levels of convenience and efficiency. These vehicles are equipped with sophisticated algorithms and sensors that allow them to navigate roads with minimal human intervention. The ability to drive autonomously not only enhances safety by reducing human error but also optimizes traffic flow and reduces congestion in urban areas. As this technology continues to evolve, it is expected to transform the way we perceive mobility, making it more accessible and sustainable for everyone. The integration of automatically driving cars into existing transportation systems is poised to revolutionize daily commutes and long-distance travel, offering a glimpse into a future where transportation is seamless and efficient.

From a regional perspective, North America currently dominates the self-driving car market, owing to the presence of major automotive manufacturers and technology companies, as well as favorable regulatory frameworks. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by rapid urbanization, increased investment in smart city infrastructure, and supportive government policies aimed at promoting autonomous vehicle technology.

Component Analysis

The self-driving car market is segmented by component into hardware, software, and services. The hardware segment encompasses various physical components essential for the operation of autonomous vehicles, such as sensors, processors, and actuators. These components form the backbone of self-driving technology, providing the necessary data and processing power to enable autonomous navigation. The hardware segment is expected to remain a significant revenue generator within the market, driven by continuous advancements in sensor technology and the development of more powerful computational hardware.

Software, on the other hand, plays a critical role in interpreting sensor data, making real-time decisions, and controlling the vehicle. This segment includes operating systems, AI algorithms, and various applications specific to autonomous driving. The software segment is projected to witness rapid growth, fueled by ongoing innovations in AI and machine learning, which are crucial for enhancing the performance and reliability of self-driving systems. Major tech companies and automotive OEMs are heavily investing in software development to gain a competitive edge in the market.

Self-driving Car Technology Market Outlook

The self-driving car technology market is poised for significant growth, with a current market size of approximately USD 40 billion in 2023, and it is anticipated to reach around USD 150 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 15.5%. This rapid expansion is driven by factors such as advancements in artificial intelligence and machine learning, increasing investments from tech giants and automotive manufacturers, and a growing demand for safer and more efficient transportation solutions. Key growth drivers include the potential for reduced traffic accidents, enhanced mobility for non-drivers, and the promise of greater fuel efficiency and reduced emissions.

One of the primary growth factors in the self-driving car technology market is the continuous evolution of AI and deep learning technologies. These advancements are crucial in improving the decision-making capabilities of autonomous vehicles, allowing them to interpret complex traffic scenarios and adapt to unpredictable conditions on the road. Companies are investing heavily in R&D to develop sophisticated algorithms that enhance perception, prediction, and planning, which are vital for achieving higher levels of autonomy. Furthermore, collaborations between tech firms and traditional car manufacturers are accelerating the development and deployment of self-driving capabilities, thus contributing to market growth.

Another significant factor propelling the self-driving car technology market is the growing regulatory support and government initiatives across various regions. Governments are actively promoting autonomous vehicle technologies as part of broader smart city initiatives, aiming to improve urban transportation infrastructure and reduce congestion. Regulatory frameworks are being developed to ensure the safe testing and deployment of self-driving vehicles, which in turn encourages companies to innovate and invest. Additionally, regulatory bodies are working on creating standardized safety protocols and guidelines, which are essential for gaining public trust and fostering widespread adoption of autonomous vehicles.

The increasing consumer demand for convenience, efficiency, and enhanced safety features in vehicles is also a vital growth factor for the self-driving car technology market. Consumers are becoming more receptive to the idea of autonomous vehicles as they recognize the potential benefits, such as reduced travel time and improved accessibility for individuals who cannot drive. The rise of shared mobility services, such as ride-hailing and car-sharing platforms, is further boosting demand for self-driving technologies as these services can significantly reduce operational costs and improve user experiences. This shift in consumer preferences is prompting automakers to prioritize the integration of autonomous features in their vehicle lineups.

Regionally, North America and Asia Pacific are expected to dominate the self-driving car technology market. North America, with its well-established automotive industry and favorable regulatory environment, continues to be a leader in the development and testing of autonomous vehicles. The presence of major technology companies and automotive manufacturers in this region further supports growth. Meanwhile, Asia Pacific, particularly China and Japan, is witnessing rapid advancements due to significant investments in autonomous vehicle research and infrastructure development. The region's large consumer base and increasing urbanization are also key factors driving market growth.

Component Analysis

The self-driving car technology market is segmented into three primary components: hardware, software, and services. Each of these components plays a crucial role in the development and implementation of autonomous vehicle technologies. The hardware segment includes various essential components such as sensors, processors, and actuators, which are vital for the vehicle's perception and control systems. These components are responsible for gathering data from the vehicle's surroundings and processing it to make real-time driving decisions. As advancements are made in sensor technologies, such as LiDAR and radar, the cost of hardware components is expected to decrease, thereby facilitating the wider adoption of self-driving technologies.

The software segment is a critical component of the self-driving car technology market, encompassing the complex algorithms and artificial intelligence systems that enable autonomous driving. Software development is focused on enhancing t

Drive

## Overview

Drive is a dataset for object detection tasks - it contains 705data Label annotations for 577 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Number of Driving Licenses: Haryana: Professional: Authorised to Drive Public Service Vehicles data was reported at 316,977.000 Unit in 2020. This stayed constant from the previous number of 316,977.000 Unit for 2019. Number of Driving Licenses: Haryana: Professional: Authorised to Drive Public Service Vehicles data is updated yearly, averaging 194,241.500 Unit from Mar 2005 (Median) to 2020, with 14 observations. The data reached an all-time high of 316,977.000 Unit in 2020 and a record low of 766.000 Unit in 2005. Number of Driving Licenses: Haryana: Professional: Authorised to Drive Public Service Vehicles data remains active status in CEIC and is reported by Ministry of Road Transport and Highways. The data is categorized under India Premium Database’s Automobile Sector – Table IN.RAI001: Number of Driving Licenses.

L4 Self-Driving Vehicle Market Outlook

The L4 Self-Driving Vehicle market has been experiencing robust growth and is expected to continue on this trajectory, with the global market size expected to reach approximately USD 48 billion by 2023 and projected to soar to USD 125 billion by 2032, growing at an impressive CAGR of 11.2%. This growth is primarily driven by advancements in artificial intelligence, improvements in sensor technology, and increased demand for safer and more efficient transportation solutions. As countries around the world are working towards reducing traffic accidents and emissions, the push for autonomous vehicles, especially those with Level 4 (L4) capabilities which operate with high degrees of autonomy, is becoming more pronounced.

The burgeoning demand for L4 self-driving vehicles is largely attributed to advancements in AI and machine learning technologies. These technologies have enabled the development of more sophisticated algorithms capable of processing vast amounts of data from various sensors in real-time, thus allowing for safer navigation and decision-making. Moreover, the integration of AI allows for continuous learning and improvement of vehicle systems, which enhances their ability to handle a wide range of driving scenarios. Another significant growth factor is the increasing public and governmental push for road safety. Autonomous vehicles, particularly those at Level 4, have the potential to significantly reduce road accidents caused by human error, which is a major driving factor for their adoption. As a result, governments are increasingly providing regulatory support and funding for research and development in this area.

Additionally, the environmental benefits of L4 self-driving vehicles are contributing to their rising popularity. These vehicles are often more fuel-efficient and can be integrated with electric vehicle technology, which helps in reducing carbon emissions. This is particularly important as many countries are striving to meet their climate change goals. Moreover, self-driving vehicles promise reduced congestion and more optimized traffic flow, which not only minimizes emissions but also improves urban mobility. Consequently, the sustainability aspect is becoming a critical selling point for these vehicles. Furthermore, the increasing urbanization and need for efficient public transportation systems are pushing the demand for autonomous vehicles that can provide reliable and cost-effective transportation solutions.

Another key driver is the escalating demand for ride-hailing services worldwide. Companies in this sector are investing heavily in autonomous vehicle technology to reduce operational costs and enhance customer experience. The implementation of L4 self-driving vehicles in ride-hailing services could potentially revolutionize the industry by providing 24/7 service availability without the need for human drivers. This transition is expected to significantly reduce costs associated with driver wages and vehicle downtime. Additionally, as these vehicles become more commonplace, economies of scale will further drive down costs, making autonomous ride-hailing services more accessible to a broader audience.

From a regional perspective, North America and Asia Pacific are leading the charge in the development and deployment of L4 autonomous vehicles. In North America, particularly in the United States, there is a strong presence of tech giants and automotive manufacturers who are investing significantly in research and development. The regulatory environment is also relatively favorable, supporting innovation and testing of self-driving technologies. Meanwhile, in Asia Pacific, countries like China and Japan are making strides in autonomous vehicle technology, driven by their massive automotive markets and governmental initiatives aimed at boosting innovation in this field. Europe, too, is making progress, with several countries setting ambitious targets for the deployment of autonomous vehicles, supported by collaborative efforts between governments and private companies.

Component Analysis

The L4 Self-Driving Vehicle market is segmented by components, including hardware, software, and services. Each of these components plays a critical role in the functioning and advancement of autonomous vehicles. The hardware segment encompasses the physical parts of a self-driving vehicle, such as sensors (LiDAR, radar, cameras, and ultrasonic sensors), processors, and other essential devices that enable the vehicle to perceive its environment. The continuous innovation in sensor technology, particularly in LiDAR and radar systems, is pivotal in enhancing th

The autonomous driving sanitation vehicle market is experiencing robust growth, projected to reach $215 million in 2025 and expand significantly over the forecast period (2025-2033). A Compound Annual Growth Rate (CAGR) of 14.2% indicates substantial market expansion driven by several key factors. Increasing urbanization and the consequent need for efficient waste management solutions are primary drivers. Smart city initiatives, prioritizing automation and data-driven operations, further fuel market adoption. Environmental concerns and the desire to reduce labor costs also contribute to the market's growth trajectory. The market is segmented by application (indoor, outdoor enclosed, outdoor non-enclosed) and vehicle type (cleaning robot, sanitation vehicle). The outdoor, non-enclosed area application segment is likely to dominate due to the extensive use of sanitation vehicles in public spaces like streets and parks. Technological advancements in sensor technology, AI-powered navigation, and improved battery technology are crucial trends that are improving the efficiency and capabilities of these vehicles. However, high initial investment costs and the need for robust infrastructure to support autonomous operation pose challenges to market penetration. Furthermore, regulatory hurdles and public acceptance of autonomous vehicles in sanitation operations are factors that need careful consideration. The geographical distribution of the market is diverse, with North America, Europe, and Asia Pacific emerging as key regions. China, with its significant investments in smart city infrastructure and automation technologies, holds substantial market potential. North America benefits from early adoption of autonomous technologies, while Europe's focus on environmental sustainability drives demand. The market's future growth depends on addressing the existing challenges, fostering collaborations between technology providers and sanitation service providers, and developing clear regulatory frameworks to ensure the safe and efficient deployment of autonomous sanitation vehicles. The competitive landscape is dynamic, with both established players and emerging technology companies contributing to innovation and market development. Companies such as Bucher, Boschung, Trombia Technologies, and others are driving innovation through technological advancements and strategic partnerships. Further expansion is expected through technological progress, favorable government regulations, and rising environmental concerns in the years to come.

The global heavy-duty autonomous bus market is poised for significant growth, driven by increasing urbanization, rising fuel costs, and a growing need for sustainable and efficient public transportation. While precise market figures for 2019-2024 are unavailable, considering the nascent stage of the technology and the substantial investments in autonomous vehicle development, a reasonable estimation places the 2024 market size at approximately $500 million. This market is projected to experience a robust Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated market value of $4 billion by 2033. This impressive growth is fueled by technological advancements in sensor technology, artificial intelligence, and machine learning, leading to safer and more reliable autonomous bus systems. The increasing adoption of Level 4 and Level 5 autonomy, particularly in public transit and airport transportation, further contributes to this expansion. However, regulatory hurdles, infrastructure limitations, public acceptance concerns, and high initial investment costs pose challenges to wider market penetration. The market segmentation reveals key opportunities. Level 4 autonomous buses currently dominate, but Level 5 solutions are expected to gain traction as technology matures. Application-wise, public transit accounts for the largest share, followed by airport transportation, with other applications (e.g., campus shuttles) showing promising growth potential. Geographically, North America and Europe are expected to lead the market initially, owing to advanced technological infrastructure and supportive government policies. However, rapid economic growth and urbanization in Asia-Pacific are expected to drive significant adoption in the coming years, making it a key growth region in the latter half of the forecast period. Key players like New Flyer (NFI Group), Karsan, and Proterra are actively shaping the market through continuous innovation and strategic partnerships. The long-term outlook remains positive, with the market anticipated to transform urban mobility landscapes considerably within the next decade.

The global driverless autonomous shuttle market is experiencing significant growth, driven by increasing urbanization, rising demand for efficient public transportation, and advancements in autonomous vehicle technology. The market is projected to reach a substantial size, with a Compound Annual Growth Rate (CAGR) reflecting a robust expansion over the forecast period (2025-2033). While precise figures for market size and CAGR are not provided, considering the rapid technological advancements and substantial investments in the sector, a reasonable estimate would place the 2025 market size at approximately $2 billion, growing at a CAGR of 25% through 2033. This growth is fueled by several key factors, including the decreasing costs of sensors and software, supportive government regulations in several regions, and increasing consumer acceptance of autonomous transportation. Different segments within the market, such as diesel, electric, and hybrid shuttles, along with applications in intercity and intracity transportation, will exhibit varying growth rates depending on infrastructure development and regulatory frameworks. The market's expansion is not without challenges. High initial investment costs for infrastructure and vehicle development pose a significant barrier to entry for many companies. Furthermore, safety concerns, regulatory hurdles related to liability and data privacy, and the need for robust cybersecurity measures present considerable restraints. Despite these challenges, the long-term outlook remains positive, with substantial opportunities for established players and new entrants. The continuous development of sophisticated sensor technologies, advanced algorithms, and improved battery technology will drive down costs and enhance safety, paving the way for wider adoption of driverless autonomous shuttles across various applications and geographies. Key players are focusing on strategic partnerships, mergers, and acquisitions to consolidate their market position and expand their reach globally.

Driverless Taxi Market Outlook

As of 2023, the global driverless taxi market size is estimated to be valued at approximately USD 2.5 billion and is projected to reach around USD 95 billion by 2032, reflecting a robust CAGR of 41.2% over the forecast period. This exponential growth is driven by several factors such as advancements in AI technology, increasing investments by automotive giants, and the rising demand for efficient and safe public transport solutions.

One of the primary growth factors of the driverless taxi market is the rapid development and integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML). These technologies enable the creation of sophisticated algorithms that enhance the safety, efficiency, and reliability of autonomous vehicles. AI-driven data analytics and real-time decision-making capabilities are critical to the operational success of driverless taxis, significantly influencing market expansion.

Another significant driver is the increasing demand for ride-hailing services, as urbanization continues to rise globally. With a growing number of people moving to cities, the need for efficient, cost-effective, and safe transportation solutions has never been higher. Driverless taxis offer an attractive alternative to traditional ride-hailing services, reducing the need for human drivers and thereby lowering operational costs and enhancing service availability.

Furthermore, government initiatives and favorable regulations are playing a crucial role in propelling the driverless taxi market. Many countries are actively investing in smart city projects and promoting the use of autonomous vehicles as part of their public transport systems. These policies not only encourage the adoption of driverless taxis but also provide a structured framework for their operation, ensuring safety and compliance with traffic laws.

In terms of regional outlook, North America currently holds the largest market share due to its advanced technological infrastructure and significant investments in autonomous vehicle research and development. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increasing disposable income, and supportive government policies in countries like China, Japan, and South Korea.

Vehicle Type Analysis

The driverless taxi market is segmented by vehicle type into passenger cars, shuttle vans, and others. Passenger cars constitute the largest segment due to their widespread use in urban commuting and ride-hailing services. These vehicles are designed to accommodate individual passengers or small groups, providing a convenient and efficient mode of transport. Companies like Waymo and Tesla are at the forefront of developing passenger cars equipped with advanced autonomous driving features, contributing to the segment's growth.

Shuttle vans are another significant segment, primarily used for public transport and shared mobility solutions. These vehicles are designed to carry multiple passengers over short distances, making them ideal for applications such as airport shuttles and intra-city transport. The growing trend of shared mobility and the increasing focus on reducing urban traffic congestion are driving the demand for autonomous shuttle vans. Companies like Navya and EasyMile are pioneers in this segment, offering fully autonomous shuttle services in various cities worldwide.

Other vehicle types, including specialty vehicles like autonomous buses and delivery vans, are also gaining traction in the market. These vehicles are designed for specific applications, such as transporting goods or providing last-mile connectivity in urban areas. The versatility and adaptability of these autonomous vehicles make them an attractive option for various industries, further contributing to the overall market growth.

Overall, the vehicle type segment of the driverless taxi market is characterized by a diverse range of applications and significant growth potential. The continued advancements in autonomous driving technology and the increasing adoption of these vehicles across different sectors are expected to drive the expansion of this segment in the coming years.

Report Scope

Drive Stats

Drive Stats is a public data set of daily metrics on the hard drives in Backblaze’s cloud storage infrastructure that Backblaze has open-sourced since April 2013. Currently, Drive Stats comprises over 388 million records, rising by over 240,000 records per day. Drive Stats is an append-only dataset effectively logging daily statistics that once written are never updated or deleted. This is our first Hugging Face dataset; feel free to suggest improvements by creating a… See the full description on the dataset page: https://huggingface.co/datasets/backblaze/Drive_Stats.

Previous research suggests media attention may cause support for populist right-wing parties, but extant evidence is mostly limited to proportional representation systems in which such an effect would be most likely. At the same time, in the United Kingdom's first-past-the-post system, an ongoing political and regulatory debate revolves around whether the media give disproportionate coverage to the populist right-wing UK Independence Party (UKIP). We use a mixed-methods research design to investigate the causal dynamics of UKIP support and media coverage as an especially valuable case. Vector autoregression (VAR) using monthly, aggregate time-series data from January 2004 to April 2017 provides new evidence consistent with a model in which media coverage drives party support, but not vice-versa. Additionally, we identify key periods in which stagnating or declining support for UKIP is followed by increases in media coverage and subsequent increases in public support. The findings show that media coverage may drive public support for right-wing populist parties, in a substantively non-trivial fashion irreducible to previous levels of public support, even in a national institutional environment least supportive of such an effect. The findings have implications for political debates in the United Kingdom and potentially other liberal democracies.

The autonomous truck market is experiencing explosive growth, projected to maintain a CAGR exceeding 23% from 2025 to 2033. This surge is driven by several key factors: increasing demand for efficient logistics solutions, escalating labor costs within the trucking industry, the potential for enhanced safety through automation, and continuous advancements in sensor technology, artificial intelligence, and vehicle connectivity. The market segmentation reveals significant opportunities across various truck types (light, medium, and heavy-duty), levels of autonomy (semi-autonomous and fully autonomous), and component technologies (LIDAR, RADAR, cameras, and various sensors). Electric and hybrid drive types are gaining traction, aligning with global sustainability initiatives and reducing operational costs. Key players like Volvo, Mercedes-Benz, Tesla, and emerging tech companies are aggressively investing in R&D and strategic partnerships, further fueling market expansion. Geographical analysis points towards strong growth in North America and Asia-Pacific, driven by robust e-commerce growth and supportive government regulations. However, challenges remain, including regulatory hurdles in certain regions, cybersecurity concerns, and the need to address public perception and concerns about job displacement. Despite these challenges, the long-term outlook for the autonomous trucking industry remains exceptionally positive. The ongoing integration of advanced driver-assistance systems (ADAS) into commercial vehicles is paving the way for wider adoption of autonomous technologies. The potential for significant cost reductions in transportation and improved supply chain efficiency will drive further investments and market penetration. The successful deployment of autonomous trucks hinges on overcoming the remaining technological and regulatory barriers, coupled with a strategic focus on public education and engagement to address concerns and build confidence in this transformative technology. The industry's evolution will likely involve a phased approach, with increasing levels of autonomy adopted gradually across different segments and geographical regions. Recent developments include: In 2021, Daimler Trucks introduced a new industry standard scalable truck platform for autonomous driving that can produce ASE level 4 autonomous trucks with redundant systems for additional safety., In Oct 2020, Daimler partnered with Waymo to build fully driverless semi-trucks. This strategic partnership provides Daimler with autonomous driving technology from Waymo to integrate it into the company's trucks.. Notable trends are: ADAS demand is on the rise.

This dataset was originally built by Richard Longstreth as he researched his book The Drive-In, The Supermarket, and the Transformation of Commercial Space in Los Angeles, 1914-1941, which was published in 1999 by MIT Press. At that time it included every drive-in public market that he knew of, mostly in LA but also in other California cities and a few in nearby southwest states.He published the data to the Society of Architectural Historians website in 1999, which hosted it until 2004 according to Internet Archive.With permission of Professor Longstreth I have transposed it into a data sheet in order to share as open data. I also added the drive-in markets that I have discovered in Seattle, and have added some additional data to previously known locations in the first version. I expect to continue to make revisions.

Number of Driving Licenses: Delhi: Professional: Authorised to Drive Public Service Vehicles data was reported at 381,418.000 Unit in 2020. This records an increase from the previous number of 121,374.000 Unit for 2019. Number of Driving Licenses: Delhi: Professional: Authorised to Drive Public Service Vehicles data is updated yearly, averaging 118,248.000 Unit from Mar 2012 (Median) to 2020, with 8 observations. The data reached an all-time high of 457,539.000 Unit in 2017 and a record low of 28,772.000 Unit in 2012. Number of Driving Licenses: Delhi: Professional: Authorised to Drive Public Service Vehicles data remains active status in CEIC and is reported by Ministry of Road Transport and Highways. The data is categorized under India Premium Database’s Automobile Sector – Table IN.RAI001: Number of Driving Licenses.

Underlying beliefs linked to public opinion about gene drive and pest-specific toxin for pest control: Survey data to explore attitudes to novel pest control techniques (https://www.publish.csiro.au/WR/WR19149).

[Bioheritage project 2.6]