Name
Abstract | ||
|---|---|---|
Urban traffic problems including traffic accidents and traffic congestion or jams have been very serious for us. Urban traffic flow simulation has been important for mak- ing new control strategies that can reduce traffic jams. In this paper, we propose a method that can dynamically con- trol traffic signals by equivalently representing as the con- straint satisfaction problem, CSP. To solve local congestion in each intersection, we define the whole system as multi- agent systems where the represented CSP is extended to distributed CSP, DCSP, in each of which variable is dis- tributed among each intersection agent. Each intersection agent determines some signal parameters by solving the DCSP. The proposed method is implemented on our sepa- rately developed agent-oriented urban traffic simulator and applied to some roadnetworks, whose experimental simula- tions demonstrated that our method can effectively reduce traffic jams even in the roadnetworks where traffic jams are liable to occur. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/HICSS.2008.482 | Waikoloa, HI |
Keywords | Field | DocType |
trol traffic signal,intersection agent,traffic jam,urban traffic signal control,traffic congestion,urban traffic simulator,urban traffic problem,constraint satisfaction,traffic accident,urban traffic flow simulation,agent system,constraint satisfaction problem,traffic flow,multi agent systems,multi agent system | Constraint satisfaction,Traffic flow,Traffic signal,Simulation,Computer science,Multi-agent system,Constraint satisfaction problem,Traffic bottleneck,Traffic congestion reconstruction with Kerner's three-phase theory,Management science,Traffic congestion,Distributed computing | Conference |
ISSN | ISBN | Citations |
1530-1605 | 0-7695-3075-8 | 11 |
PageRank | References | Authors |
1.04 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunori Mizuno | 1 | 42 | 10.55 |
| Yukio Fukui | 2 | 111 | 25.46 |
| Seiichi Nishihara | 3 | 71 | 14.35 |