Abstract
This paper presents a microscopic traffic simulation-based method for urban traffic state estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this approach, real-time location data are collected by A-GPS mobile phones to track vehicles traveling on urban roads. In addition, tracking data obtained from individual mobile probes are aggregated to provide estimations of average road link speeds along rolling time periods. Moreover, the estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones. Simulation results demonstrate the effectiveness of the proposed method, which are fundamental for the subsequent development of a system demonstrator.
Highlights
Real-time traffic information is essential for supporting the development of many Intelligent Transportation Systems (ITS) applications: incident detection, vehicle navigation, traffic signal control, traffic monitoring, etc
This paper presents a microscopic traffic simulation-based method for urban traffic state estimation using Assisted Global Positioning System (A-GPS) mobile phones
The estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones
Summary
Real-time traffic information is essential for supporting the development of many Intelligent Transportation Systems (ITS) applications: incident detection, vehicle navigation, traffic signal control, traffic monitoring, etc. Field trials have been conducted to show the feasibility of using mobile phones as traffic probes [10,13,14,15,16] Most of these trials tried to estimate traffic states on freeways and only few deployments attempted to monitor urban arterial roads. Traffic simations can generate traffic data under a variety of traffic conditions, featured by different volumes and road networks [21] These simulation studies do not replicate the actual conditions precisely, they may still provide valuable indication of the potential performance of a probe-based traffic information system. They are utilized as on-board processing units These switched-on mobile phones are employed as probes to collect traffic data, based on which real-time urban traffic states can be estimated and sent as feedback to service subscribers.
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