On-Board Urban Traffic State Based on Probe Vehicle Data
Claudia Dittrich, Axel Leonhardt, C. Menig, Lars Wischhof
Abstract
Claudia Dittrich, Axel Leonhardt, C. Menig, Lars Wischhof
Abstract
Dynamic navigation systems can substantially benefit from reliable real-time urban traffic information. In this paper a method is shown that calculates the current urban traffic state based on probe vehicle data from fleet vehicles. On all links where there is no information present, historical traffic data is used. The calculated velocity information is integrated into the dynamic on-board navigation system. In contrast to other routing solutions this method not only informs the driver about traffic congestion and dense traffic, but also about currently free-flowing traffic. The authors conclude by comparing the probe vehicle data approach to existing car-2-car based traffic information systems.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Dynamic navigation systems can substantially benefit from reliable real-time urban traffic information. In this paper a method is shown that calculates the current urban traffic state based on probe vehicle data from fleet vehicles. On all links where there is no information present, historical traffic data is used. The calculated velocity information is integrated into the dynamic on-board navigation system. In contrast to other routing solutions this method not only informs the driver about traffic congestion and dense traffic, but also about currently free-flowing traffic. The authors conclude by comparing the probe vehicle data approach to existing car-2-car based traffic information systems.
Key concepts: Vehicle Information and Communication System, Floating car data, Traffic congestion reconstruction with Kerner's three-phase theory, Traffic congestion, State (computer science), Computer science, Real-time computing, On board