The Chicago Department of Transportation (CDOT) receives reports from 311’s Customer Service Requests (CSR) system of traffic light outages. This metric tracks the average number of days CDOT takes to complete traffic light repair requests. Total number of requests fulfilled per week is also available by mousing over columns Due to the public safety importance of traffic signals, the target time to respond to traffic light outages is within 1 day.

A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

When moisture seeps into pavement, it expands when it freezes and contracts when it thaws. This flexing of the pavement, combined with the melted water and the stress of vehicular traffic, causes pavement to deteriorate and potholes to form. The Department of Transportation (CDOT) responds to potholes reported through 311’s Customer Service Requests (CSR) system by mapping open pothole requests each morning and routing crews in geographic clusters so as to fill as many potholes as possible per day. This metric tracks the average number of days CDOT takes to complete pothole repairs per week. Total number of requests fulfilled per week is also available by mousing over columns. The target response time for pothole repairs is within 7 days. For more information about pothole repairs, see CDOT’s pothole Frequently Asked Questions page: http://www.cityofchicago.org/content/dam/city/depts/cdot/PotholeFAQ_winter1011.pdf

Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly

Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.

Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.

Use Case: Analyze Year Over Year Growth Rate by Region

Problem A public investor wants to understand how a company’s year-over-year growth differs by region.

Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends

Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels

Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

MDOT SHA Annual Average Daily Traffic (AADT) Lines data consists of linear geometric features which represent traffic count sections along public roadways in the State of Maryland. Traffic counts are performed in order to calculate the annual average daily traffic (AADT), annual average weekday traffic (AAWDT), and AADT based on vehicle class (current year only) for sections along public roadways in the State of Maryland. Overall percent utilization, percent utilization based on vehicle class, and truck-specific percent utilization are showcased as statistical metrics for each road section where applicable. Ten years of historic AADT and AAWDT traffic count information is also available for each road section where applicable. Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 automatic traffic recorders (ATRs), located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 84 permanent, continuous ATRs, and short-term traffic counts. To date, four (4) ATRs have been removed from the ATR Program. Program count data is collected (both directions) at regular locations on either a three (3) year or six (6) year cycle depending on type of roadway. Growth Factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2014), “1” represents the count taken in 2013, “2” represents the count taken in 2012, “3” represents the count taken in 2011 and so forth. Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other State and local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development and implementation of State highway improvement and safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively and efficiently meet MDOT SHA’s long-term traffic data monitoring and reporting requirements. Annual Average Daily Traffic (AADT) data is updated and published on an annual basis for the prior year. This data is for the year 2019. Last Updated: May 2020 (05/21/2020) View the most current AADT data in the Maryland Annual Average Daily Traffic (AADT) Locator For AADT data information, contact the MDOT SHA Traffic Monitoring System (TMS) Team Email: TMS@mdot.maryland.gov For additional information, contact MDOT SHA Geospatial Technologies, Email: GIS@mdot.maryland.gov MDOT SHA Geospatial Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks,

Traffic analytics, rankings, and competitive metrics for data.world as of June 2025

Unlock insights with Echo's Activity data, offering views of locations based on visitor behavior. Enhance site selection, urban planning, and real estate with metrics like unique visitors and visits. Our high-quality, global data reveals movement patterns, updated daily and normalized monthly.

dataplor’s mobility and foot traffic data for Mexico addresses a significant gap in location intelligence by combining precise POI data with accurate visitation counts. Traditionally, businesses rely on demographic or static market data, which often fails to capture the dynamic nature of consumer behavior. By including foot traffic insights, businesses can gauge not just the market potential of a location but also its real-world popularity and activity patterns.

This enhanced perspective allows users to: - Assess economic trends and evolving consumer interests. - Benchmark competitor performance with greater accuracy. - Pinpoint underserved market opportunities. - Develop precise, data-driven forecasts.

By providing GDPR-compliant, non-PII mobility data paired with the most comprehensive POI data for Mexico, the product ensures businesses can act with confidence while maintaining data privacy standards.

Data Points for In-Depth Analysis:

Store Identification & Naming: - Official POI names, reflecting regional variations, and unique IDs for easy tracking

Business Type & Focus: - Clear categorization into primary and secondary business types. - Popularity Indices - Sentiment Indices and more

Precise Location Information: - Street names - City - State/province - Postal code - Country - Neighborhood data.

Geo-Coordinates for Mapping: - Latitude - Longitude

Operational Status & Data Reliability: - Indicates whether stores are open or closed, along with a confidence score for data accuracy. - Establishment Date - Foot Traffic Metrics - Access visitation counts for places of interest across Mexico. - Understand activity patterns and uncover untapped opportunities. - Analyze customer behavior and benchmark competitor performance. - Optimize site selection and target new markets.

Comprehensive dataset of DHL's market share across different logistics segments including TDI express (43%), contract logistics (#1 globally), and freight forwarding (#2 globally) with regional breakdowns and competitor comparisons.

This dataset captures detailed traffic patterns across major roads and intersections in Bangalore. It includes metrics such as traffic volume, speed, congestion levels, and environmental impact, providing a comprehensive view of the city's transportation dynamics. Ideal for urban planners and smart city applications.

This dataset is the resulting traffic volume data from a recent pilot of computer-vision sensors.

The following metrics were measured: -Volume counts of people, bikes, cars, trucks, and busses passing through pilot project areas -Volumes accounted for by mode and timestamped at up to 15-minute intervals -Desire lines and movement patterns accounted for by mode

The primary purpose of this pilot was to understand the impacts of temporary street-level changes that would be implemented to facilitate a safe re-opening in the context of Covid-19. A secondary objective of the project was to evaluate a privacy-oriented solution to data collection in the public realm.

Sensors were installed at three distinct locations: -In the Seaport district on a commercial street with bike lanes (Northern Avenue) -Downtown at a busy intersection next to the Boston Common (Tremont Street) -And in Jamaica Plain where the southwest corridor convenes with a blue bike station and T stop (Jackson Sq.)

Please complete this form to access the City of Boston Sandbox and access the data in API format: https://docs.google.com/forms/d/e/1FAIpQLScuEQEsmTToEMBRqvX7uhpCiWu165T4GciTCMEa2ylC2bT59w/viewform

Traffic analytics, rankings, and competitive metrics for data.gov as of June 2025

Reporting on storage, performance, traffic, security, and event activity.

Estimated parameters from the GLM.

Traffic analytics, rankings, and competitive metrics for poppin.com as of June 2025

Traffic analytics, rankings, and competitive metrics for line.me as of June 2025