Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time

This study examined a cooperative merging control methodology for connected vehicles to optimize traffic flow without considering a traffic priority/non-priority at intersections. A cellular automata microsimulation was constructed to examine the methodology. It was used for simulating the traffic c...

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Veröffentlicht in:International journal of ITS research 2020, Vol.18 (1), p.65-76
Hauptverfasser: Tashiro, Mutsumi, Motoyama, Hiroki, Ichioka, Yuki, Miwa, Tomio, Morikawa, Takayuki
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container_title International journal of ITS research
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creator Tashiro, Mutsumi
Motoyama, Hiroki
Ichioka, Yuki
Miwa, Tomio
Morikawa, Takayuki
description This study examined a cooperative merging control methodology for connected vehicles to optimize traffic flow without considering a traffic priority/non-priority at intersections. A cellular automata microsimulation was constructed to examine the methodology. It was used for simulating the traffic condition and for predicting a future conflict between two vehicles at a T-junction or cross-junction. Optimum vehicle control patterns of the two vehicles for avoiding the conflict and minimizing the total travel time of all vehicles on the road network was examined. Simulation results demonstrate that the proposed methodology can reduce total travel time and that the control patterns become more diverse as the traffic volume increases.
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subjects Automotive Engineering
Cellular automata
Civil Engineering
Computer Imaging
Cooperative control
Electrical Engineering
Engineering
Intersections
Methodology
Optimization
Pattern Recognition and Graphics
Roads
Robotics and Automation
Simulation
Traffic conflicts
Traffic flow
Traffic volume
Travel time
User Interfaces and Human Computer Interaction
Vehicles
Vision
title Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time
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