Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Econolite Centracs Mobility Supports Crowdsourced Traffic Data Analytics

Crowdsourced Data Now Utilized by Centracs Mobility for Signal Performance Measurement and Optimization.

Econolite, the leader in one-stop-shop traffic management solutions, announced that the recently released cloud-based Centracs Mobility software platform now supports crowdsourced traffic data as an additional source of real-time roadway detection. The robust architecture of Centracs Mobility provides transportation agencies the flexibility of integrating real-time traffic data for signal performance measurement and optimization.

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. “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, Econolite’s Chief Technology Officer. “This form of ‘infrastructure-less’ data has already been leveraged for traffic incident reporting, predictive modeling, and travel time estimation, but has not previously been demonstrated to be a viable source of input for signal performance measures or signal optimization. By feeding this data into Centracs SPM’s cloud-based analytics, we can now take a significant leap forward in real-time signal optimization and enable our suite of SPM tools for agencies that may not have the prerequisite infrastructure deployed for traditional advance, or per-lane detection.”

Recommended AI News: Cloud Industry Veteran Joins Aisera to Drive Company Growth and Accelerate Customer Success

Related Posts
1 of 40,448

Centracs Mobility, with SPM’s established real-time data analytics, is an ideal platform, providing a foundation for aggregating and leveraging both traditional detection data and real-time crowdsourced traffic data. Econolite is working with research programs to establish the feasibility to serve many use cases with crowdsourced data. Econolite’s software toolset can present signal performance metrics based on toggling the various types of data sources for direct comparison.

Recommended AI News: Moonstake Web Wallet Provides Staking Support for Cardano ADA

Centracs Mobility’s flexible architecture enables cities and transportation agencies to custom tailor it for their specific traffic control needs, maximizing their investment. It can be easily integrated with the latest in sensor technologies, and can be customized 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 multimodal transportation environments.

Recommended AI News: Cryptocurrency Exchange and Custodian Gemini Selects Eventus Systems as Trade Surveillance Provider

Comments are closed, but trackbacks and pingbacks are open.