Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Original Paper
Evaluating Advantage of Sharing Information among Vehicles toward Avoiding Phantom Congestion
Generalized Nagel-Schreckenberg Model
Shota IshikawaSachiyo Arai
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2016 Volume 31 Issue 2 Pages D-F32_1-8

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Abstract
In this paper, we introduce an intelligent vehicle in traffic flow where a phantom traffic jam occurs for ensuring traffic-flow stability. The intelligent vehicle shares information on the speed and gap of the leading vehicle. Furthermore, the intelligent vehicle can foresee changes in the leading vehicles through shared information and can start accelerating faster than human-driven vehicles can. We propose an intelligent vehicle model, which is a generalized Nagel-Schreckenberg model can arbitrarily set the number of leading vehicles to share information with and set maximum distance of inter-vehicle communication. We found that phantom traffic jams are suppressed by an intelligent vehicle that can share information with two or more vehicles in front and information at least 30 meters away.
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© The Japanese Society for Artificial Intelligence 2016
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