For more information on the attributes associated with collisions, please download the codebook.Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2014 - 2019. Geocoded and prepared by RoadSafe GIS All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdictionCollisions on state highways where all or a portion of the highway is a surface street:State highways 42, 213, 1, 27 (and the intersection of Ferry@Seaside and Navy@Seaside on SR 47)State highway 110 – All between postmile values 0 and .745State highway 170 – All between postmile values 9 and 10.61State highway 2– All postmile values below 14.08 (Glendale Fwy begins)Collisions at ramp intersections with local roads. In some cases it can be difficult to distinguish an intersection with a local road or another ramp segment. However, all the collisions with these ramp values are included: 1 – Ramp Exit, Last 50 Feet3 – Ramp Entry, First 50 Feet4 – Not State Highway, Ramp-related, Within 100 Feet5 – Intersection6 – Not State Highway, Intersection-related, Within 250 FeetAdditional fields in the collision data table for a standardized matching address (match_addr), primary road name (m_primaryr), secondary road name (m_secondrd). These are very useful fields for ranking by intersections. RoadSafe GIS utilizes these fields for generating rankings by various safety performance functions.Party and victim data tables that correspond to the SWITRS collision file.Display Note: 3090 Case IDs can not be match with LA City streets from data provided by SWITRS. Note that the field names have been updated to reflect the original headers provided by CHP in addition to our several added fields.

The global road safety software market is experiencing robust growth, driven by increasing government regulations mandating improved road safety measures and a rising adoption of advanced technologies for traffic management and accident analysis. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $6 billion by 2033. This expansion is fueled by several key factors. Firstly, the increasing frequency and severity of road accidents are prompting governments and organizations to invest heavily in sophisticated software solutions capable of identifying accident hotspots, analyzing contributing factors, and implementing preventative strategies. Secondly, advancements in artificial intelligence (AI), machine learning (ML), and computer vision are leading to the development of more efficient and accurate road safety software, capable of processing large datasets and providing real-time insights. The cloud-based segment is witnessing significant growth due to its scalability, cost-effectiveness, and ease of access. Accident analysis applications dominate the market due to the critical need for comprehensive data analysis to understand and address accident patterns. The market's growth is not without challenges. High initial investment costs associated with implementing and maintaining road safety software, coupled with the need for skilled personnel to operate and interpret the data, can pose significant barriers to entry, particularly for smaller organizations. Data security and privacy concerns also remain a key restraint, necessitating robust security protocols and data governance frameworks. Despite these challenges, the market is expected to continue its upward trajectory, driven by increasing technological advancements, rising awareness about road safety, and the growing adoption of smart city initiatives globally. The North American market currently holds a substantial share, followed by Europe and Asia-Pacific regions, each exhibiting unique growth trajectories based on their respective levels of technological adoption and infrastructure development. Companies such as TRL, TES, RoadSafe GIS Inc., and VIA are key players shaping innovation and competition within this dynamic landscape.

For more information on the attributes associated with collisions, please download the codebook.Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2014 - 2019. Geocoded and prepared by RoadSafe GIS All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdictionCollisions on state highways where all or a portion of the highway is a surface street:State highways 42, 213, 1, 27 (and the intersection of Ferry@Seaside and Navy@Seaside on SR 47)State highway 110 – All between postmile values 0 and .745State highway 170 – All between postmile values 9 and 10.61State highway 2– All postmile values below 14.08 (Glendale Fwy begins)Collisions at ramp intersections with local roads. In some cases it can be difficult to distinguish an intersection with a local road or another ramp segment. However, all the collisions with these ramp values are included: 1 – Ramp Exit, Last 50 Feet3 – Ramp Entry, First 50 Feet4 – Not State Highway, Ramp-related, Within 100 Feet5 – Intersection6 – Not State Highway, Intersection-related, Within 250 FeetAdditional fields in the collision data table for a standardized matching address (match_addr), primary road name (m_primaryr), secondary road name (m_secondrd). These are very useful fields for ranking by intersections. RoadSafe GIS utilizes these fields for generating rankings by various safety performance functions.Party and victim data tables that correspond to the SWITRS collision file.Display Note: 3090 Case IDs can not be match with LA City streets from data provided by SWITRS. Note that the field names have been updated to reflect the original headers provided by CHP in addition to our several added fields.

The global road safety software market is experiencing robust growth, driven by increasing government regulations mandating advanced safety measures, rising adoption of connected vehicle technologies, and a growing focus on reducing traffic accidents and improving infrastructure safety. While precise market size figures were not provided, considering similar software markets and typical growth rates, a reasonable estimate for the 2025 market size would be $1.5 billion USD. Assuming a compound annual growth rate (CAGR) of 12% (a conservative estimate given the market drivers), the market is projected to reach approximately $2.7 billion USD by 2033. This growth reflects the expanding adoption of sophisticated software solutions that leverage data analytics, AI, and IoT capabilities for traffic management, incident response, and overall road safety improvement. Key factors fueling this expansion include the increasing integration of intelligent transportation systems (ITS), the need for real-time data analysis to identify accident hotspots and high-risk areas, and the continuous development of more intuitive and user-friendly software interfaces for various stakeholders, including traffic managers, law enforcement, and emergency responders. The market is further segmented based on software type (incident management, traffic flow optimization, etc.), deployment mode (cloud-based, on-premise), and end-user (government agencies, private companies). While competition is present among key players like TRL, TES, RoadSafe GIS Inc., VIA, Buchanan Computing Ltd, AgileAssets, Brighton & Hove City Council, and DXD Group Ltd., the market offers significant opportunities for new entrants and innovation. The continued advancement of technologies like AI and machine learning is expected to significantly enhance the capabilities of road safety software, leading to even more effective accident prevention and mitigation strategies in the coming years.

For more information on the attributes associated with collisions, please download the codebook.Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2014 - 2019. Geocoded and prepared by RoadSafe GIS All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdictionCollisions on state highways where all or a portion of the highway is a surface street:State highways 42, 213, 1, 27 (and the intersection of Ferry@Seaside and Navy@Seaside on SR 47)State highway 110 – All between postmile values 0 and .745State highway 170 – All between postmile values 9 and 10.61State highway 2– All postmile values below 14.08 (Glendale Fwy begins)Collisions at ramp intersections with local roads. In some cases it can be difficult to distinguish an intersection with a local road or another ramp segment. However, all the collisions with these ramp values are included: 1 – Ramp Exit, Last 50 Feet3 – Ramp Entry, First 50 Feet4 – Not State Highway, Ramp-related, Within 100 Feet5 – Intersection6 – Not State Highway, Intersection-related, Within 250 FeetAdditional fields in the collision data table for a standardized matching address (match_addr), primary road name (m_primaryr), secondary road name (m_secondrd). These are very useful fields for ranking by intersections. RoadSafe GIS utilizes these fields for generating rankings by various safety performance functions.Party and victim data tables that correspond to the SWITRS collision file.Display Note: 3090 Case IDs can not be match with LA City streets from data provided by SWITRS. Note that the field names have been updated to reflect the original headers provided by CHP in addition to our several added fields.

The global market for software solutions dedicated to road safety is experiencing robust growth, projected to reach $3.91 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 9.2% from 2025 to 2033. This expansion is driven by several key factors. Increasing urbanization and traffic congestion necessitate more sophisticated traffic management systems. Governments worldwide are prioritizing road safety initiatives, leading to increased investment in advanced technologies like AI-powered incident detection and red-light enforcement software. Furthermore, the rising adoption of connected vehicles and the availability of vast amounts of data from various sources (sensors, cameras, etc.) are fueling the development of predictive analytics and data-driven solutions for enhanced road safety. The market segments witnessing the strongest growth include incident detection systems, which leverage AI and machine learning for faster response times, and red-light enforcement software, which contributes to improved traffic flow and accident reduction. Geographic regions such as North America and Europe are currently leading the market due to advanced infrastructure and higher adoption rates of these technologies, however, rapid infrastructure development and increasing government initiatives in regions like Asia-Pacific are expected to drive significant future growth in these markets. The competitive landscape is marked by a mix of established players and emerging innovative companies. Major vendors are actively investing in research and development to enhance the capabilities of their software, incorporating features such as real-time data analysis, predictive modeling, and integration with various traffic management systems. Strategic partnerships and mergers and acquisitions are also shaping the market dynamics, fostering collaboration and accelerating innovation. The market's future hinges on further advancements in AI and machine learning, the integration of IoT devices, and the ongoing development of standardized data sharing protocols to unlock the full potential of data-driven insights for enhancing road safety globally.

For more information on the attributes associated with collisions, please download the codebook.Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2009 - 2013. Geocoded and prepared by RoadSafe GIS All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdictionCollisions on state highways where all or a portion of the highway is a surface street:State highways 42, 213, 1, 27 (and the intersection of Ferry@Seaside and Navy@Seaside on SR 47)State highway 110 – All between postmile values 0 and .745State highway 170 – All between postmile values 9 and 10.61State highway 2– All postmile values below 14.08 (Glendale Fwy begins)Collisions at ramp intersections with local roads. In some cases it can be difficult to distinguish an intersection with a local road or another ramp segment. However, all the collisions with these ramp values are included: 1 – Ramp Exit, Last 50 Feet3 – Ramp Entry, First 50 Feet4 – Not State Highway, Ramp-related, Within 100 Feet5 – Intersection6 – Not State Highway, Intersection-related, Within 250 FeetAdditional fields in the collision data table for a standardized matching address (match_addr), primary road name (m_primaryr), secondary road name (m_secondrd). These are very useful fields for ranking by intersections. RoadSafe GIS utilizes these fields for generating rankings by various safety performance functions.Party and victim data tables that correspond to the SWITRS collision file.Note that the field names have been updated to reflect the original headers provided by CHP in addition to our several added fields. You can access their raw data template here.