Traffic Speed Estimation through Data Fusion from Heterogeneous Sources for First Response Deployment

AbstractDuring emergencies, the efficiency of first response deployment is critical. Once the assignments are decided for the distribution of first responders, the deployment efficiency for the teams to arrive at the affected zone is determined by the response time. Knowing the condition on the road network could substantially reduce the response time, in other words, increasing the transport efficiency for the deployment. On the other hand, real-time traffic data acquisition has been the core and basis of all development of advanced traffic-management systems. For the goal of measuring reliable traffic speed, the traffic data sources should generally include spot speed data received from vehicle detectors, space speed data collected by probe vehicles, and historical data to generate traffic information for main arterials within urban areas. This paper describes the fusion technique to integrate active and passive data from spot and space data for the estimation of traffic speed in emergency scenarios bas...

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