LATEST BLOG POSTS
Location data provides valuable data and metrics for traffic studies, but not all location data is as accurate or complex. A comparison of location-based services apps and connected car location data for both low and high frequencies.
Level of service scores provide quick, easy to understand analysis of how roadway users perceive quality of service. Different roadways use different criteria to determine LOS score.
Counts and classification data provide valuable information to agencies, but study methods differ greatly in collection and accuracy. A comparison of 6 different counts and classification data collection methods.
As connected vehicles grow, the debate between DSRC and 5G technology continues. Here, an explanation of both technologies and a comparison of 5 key metrics.
Smart work zones use real-time sensor technology and dynamic messaging to inform motorists of changing conditions. Utilizing these 5 smart work zone systems can decrease driver frustration and delay, and increase safety for construction workers and drivers.
High resolution connected car data can provide advanced, accurate traffic data analytics. With high coverage, low data latency, increased accuracy, ease of access, and quality data, connected cars are changing data analytics.
Automated traffic signal performance measures allow agencies to utilize their existing infrastructure while getting actionable performance measures. ATSPMs save money and resources while increasing safety and reducing travel times.
Active traffic management strategies allow agencies to improve trip reliability, safety, and throughput. Learn more about these strategies and how different agencies are using them to create smart, adaptive roadways.
Signal retiming projects are fundamental for efficient transportation systems. With numerous benefits, signal retiming can support your infrastructure and generate a high ROI.
Annual Average Travel Time is the measure that is used to report the roads’ traffic congestion. However, most of the time, it is different from what riders would experience every day or what they remember due to unexpected delays. The following are the main components of travel time reliability.