Road Network Determination by Cellular Automata Traffic Flow Simulation
Eisuke Kita, Wataru Nanya, Yukiko WAKITA, Tatsuhiro Tamaki
Abstract
Eisuke Kita, Wataru Nanya, Yukiko WAKITA, Tatsuhiro Tamaki
Abstract
Braess's Paradox pointed out that, when a new road is added for increasing road capacity, total capacity of whole road network is reduced in any case. It is pointed out by other study that Braess's Paradox disappears at the high traffic density. The aim of this study is to discuss the appearance of Braess's Paradox at the different traffic density. At the different traffic density, the road network is determined so as to maximize the traffic amount by the help of the optimization algorithm and the traffic simulator. The results show that the optimized road network depends on the traffic density.
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.
Braess's Paradox pointed out that, when a new road is added for increasing road capacity, total capacity of whole road network is reduced in any case. It is pointed out by other study that Braess's Paradox disappears at the high traffic density. The aim of this study is to discuss the appearance of Braess's Paradox at the different traffic density. At the different traffic density, the road network is determined so as to maximize the traffic amount by the help of the optimization algorithm and the traffic simulator. The results show that the optimized road network depends on the traffic density.
Key concepts: Cellular automaton, Traffic flow (computer networking), Computer science, Traffic network, Traffic congestion reconstruction with Kerner's three-phase theory, Transport engineering, Traffic optimization, Traffic generation model