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Econolite incorporates crowdsourced traffic data into mobility platform

The developer’s software platform offers transportation agencies the flexibility of integrating real-time traffic data for signal performance measurement and optimisation.

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Crowdsourced traffic data has been steadily improving in quality over recent years
Crowdsourced traffic data has been steadily improving in quality over recent years

Econolite has announced that its cloud-based Centracs Mobility software platform now supports crowdsourced traffic data as an additional source of real-time roadway detection.

 

According to the traffic management solutions provider, the platform’s “robust architecture” offers transportation agencies the flexibility of integrating real-time traffic data for signal performance measurement and optimisation.

 

Signal timing

 

Crowdsourced traffic data has been steadily improving in quality over recent years. There has been an expected tipping point where this data source would have the accuracy and coverage of vehicles to be used as a trusted input for signal timing, reports Econolite.

 

“The widespread availability of mobile connections to both vehicles and cellular devices has made crowdsourced data a significant source of real-time information,” said Eric Raamot, chief technology officer, Econolite.

 

“This form of ‘infrastructure-less’ data has already been leveraged for traffic incident reporting, predictive modelling, and travel time estimation, but has not previously been demonstrated to be a viable source of input for signal performance measures or signal optimisation.”

 

He continued: “By feeding this data into Centracs SPM’s cloud-based analytics, we can now take a significant leap forward in real-time signal optimisation” and enable our suite of signal performance metrics (SPM) tools for agencies that may not have the prerequisite infrastructure deployed for traditional advance, or per-lane detection.”

 

Centracs Mobility, with SPM’s real-time data analytics, provides a foundation for aggregating and leveraging both traditional detection data and real-time crowdsourced traffic data, said Econolite.

“By feeding this data into Centracs SPM’s cloud-based analytics, we can now take a significant leap forward in real-time signal optimisation”

It is working with research programmes to establish the feasibility to serve many use cases with crowdsourced data. The company notes its software toolset can present signal performance metrics based on toggling the various types of data sources for direct comparison.

 

Centracs Mobility’s flexible architecture enables cities and transportation agencies to custom tailor it for their specific traffic control needs, maximising their investment, claims Econolite. It can be integrated with the latest in sensor technologies, and can be customised for any deployment level, delivering the highest levels of traffic control interoperability and automation.

 

Centracs Mobility was developed based on user-feedback and designed to address the dynamic traffic control needs of today’s data-driven roadway networks and smart city multi-modal transportation environments.

 

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