Development of a Local Storage Type Traffic Prediction for Car-Navigation System
Hiroki Ishikawa
Abstract
Hiroki Ishikawa
Abstract
We developed the traffic prediction technology for car-navigation systems, which stores usual traffic information in the vehicle terminal. The system with this technology has the following feature compared to the conventional navigation systems. The route in consideration of the usual traffic situation: The system offers the optimal route in consideration of usual traffic congestion such as bottlenecks at certain time zone. The travel time estimation in consideration of the usual traffic situation: The system can calculate the travel time of the route in consideration of traffic congestion of a certain time zone. Compensation of the traffic information by learning the historical trace: Even if the deterioration of the static traffic information occurs by change of road environment etc., it can be corrected by historical trace data of the vehicle itself.
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We developed the traffic prediction technology for car-navigation systems, which stores usual traffic information in the vehicle terminal. The system with this technology has the following feature compared to the conventional navigation systems. The route in consideration of the usual traffic situation: The system offers the optimal route in consideration of usual traffic congestion such as bottlenecks at certain time zone. The travel time estimation in consideration of the usual traffic situation: The system can calculate the travel time of the route in consideration of traffic congestion of a certain time zone. Compensation of the traffic information by learning the historical trace: Even if the deterioration of the static traffic information occurs by change of road environment etc., it can be corrected by historical trace data of the vehicle itself.
Key concepts: Floating car data, Vehicle Information and Communication System, Traffic congestion reconstruction with Kerner's three-phase theory, Computer science, Traffic congestion, TRACE (psycholinguistics), Transport engineering, Real-time computing