We have teamed up with Mastercard to bring invaluable insights to city planners by joining the City Possible network. Mastercard aims to use this platform as a new model for urban innovation where a global network of cities, businesses, academics, and communities will work together to make the world’s cities more inclusive and sustainable. The platform unites and promotes organizations as they work to sustainably shape cities around the globe. This problem-solving mission perfectly aligns with our Smart Mobility for Good™ motto and is why we chose to partner together.

Through City Possible’s partner page, 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.

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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 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. Fuelled 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.

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

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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%.

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Xouba is an analytics company based in Spain that uses cloud data to maximize the growing availability of electric and connected vehicle data to inform and improve road management and safety. As part of its efforts, Xouba has utilized Wejo’s data to better understand traffic and driver behavior trends using information generated from over 11.8 million connected vehicles.

To understand traffic-calming measures, municipalities typically use physical roadway sensors to analyze where speeding occurs. However, these sensors are costly to maintain, only provide a snapshot in time, and are often only located on straightaways in the road. With decades of experience in construction and road maintenance, the Xouba team saw a gap in the market and wanted to offer a new way of providing accurate insight into what was happening on the roads to inform governments of traffic-calming efforts.

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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.

You can find more resources about how governments and municipalities have utilized Wejo’s smart mobility data to help them improve road safety and conditions here.