Name
Abstract | ||
|---|---|---|
The growing number of vehicles and pedestrians in the cities increases difficulties for traffic control. Nowadays application of computational techniques helps traffic engineers, giving more efficiency, security and agility to decision making tasks. In this context, a good traffic lights management improves vehicles flow, decreasing traffic jams and delays. This paper applies a multiobjective technique to traffic lights timing using Non Dominated Sorting Genetic Algorithm (NSGA-II), aggregates the proposed algorithm to a microregion traffic simulator coupled into Geographic Information System (GIS). Experiments performed in Porto Alegre area (Brazil) validate the applied technique, comparing obtained results with similar ones from earlier reports. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CEC.2011.5949777 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
decision making,genetic algorithms,geographic information systems,sorting,traffic control,traffic engineering computing,Brazil,Porto Alegre area,computational techniques,decision making,geographic information system,microregion traffic simulator,multiobjective optimization,nondominated sorting genetic algorithm,traffic control,traffic jams,traffic light timing management,Geographic Information System,Multiobjective Optimization,NSGA,Simulation,Traffic Lights Timing | Traffic optimization,Geographic information system,Computer science,Simulation,Microregion,Traffic simulator,Multi-objective optimization,Sorting,Genetic algorithm | Conference |
ISSN | ISBN | Citations |
Pending | 978-1-4244-7834-7 | 1 |
PageRank | References | Authors |
0.40 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Breno C. Costa | 1 | 1 | 0.40 |
| Paulo Eduardo Maciel de Almeida | 2 | 82 | 12.75 |
| Evandro Caldeira | 3 | 1 | 0.40 |