Redefining the cities of the future with Wejo | City Possible angle-rightlearn more indicatorFill 1link icoFill 1PlayFill 1Fill 1

Redefining the cities of the future with Wejo

Wejo has partnered with the City Possible network, pioneered by Mastercard to bring invaluable insights to city planners. Wejo Studio is a platform that provides accurate and unbiased insights from unique journey data. This data is curated from millions of connected cars to help visualize traffic conditions and trip details for a given date and time. With access to the Wejo Studio platform, cities and organizations can unlock a deeper understanding of mobility trends, enable more informed decisions to innovate, and effectively solve problems.

Wejo Studio provides an opportunity for city planners to see how they can leverage the power of connected vehicle data to generate traffic and journey insights. Fueled by data from millions of connected vehicles, the platform can help visualize traffic and congestion conditions as well as unlock a deeper understanding of urban mobility trends.

US city planners and members can now unlock a deeper understanding of mobility trends which enable them to make better decisions, innovate, and solve problems. They’re able to do this with a free guided trial of the Wejo Studio insight products platform.

Discover how Wejo has partnered with cities to build greener, smarter communities across the US, through Wejo data insights.

Flow Labs’ Predictive Traffic Control AI software provides transportation agencies with a more resource efficient way to make roads safer and reduce traffic through end-to-end traffic signal management. The process to monitor and update traffic signal timing is typically highly manual and expensive, often requiring up to 70 hours of expert labor per intersection and installation of costly hardware sensors. For this reason, traffic signals are updated once every five years.

With Wejo data, Flow Labs’ AI Predictive Traffic Control software was able to ensure the data it leveraged for machine learning was accurately representing roadway trends. This accuracy and the reliability of CVD meant Flow Labs’ AI could help agencies not only manage signal timing but rethink their entire approach to traffic management. W

By integrating Wejo connected vehicle data (CVD) into its data set, Flow Labs’ virtual sensors could generate volume accuracy of 94.4%.
See the results

Oklahoma State University (OSU) is a global leader in applying innovative technologies to improve road safety. Dr. Joshua Li, Ph.D. in Civil Engineering and Associate Professor of Transportation Engineering at OSU, spearheads research to help Departments of Transportation (DOTs) reach Vision Zero – a strategy to eliminate all traffic fatalities and severe injuries, while increasing safe, healthy, equitable mobility for all. Dr. Li’s research is focused on enabling DOTs to better understand road conditions using new technologies so they can more cost-effectively prioritize infrastructure projects that will curb crashes and fatalities.

By using Smart Mobility Data to gain accurate insight into not only speed and location of vehicles on their network but also road conditions, DOTs can more effectively identify areas of improvement while determining which projects are most critical to addressing first on the road to Vision Zero.
See the results

 


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