Title |
Simulating and evaluating an adaptive and integrated traffic lights control system for smart city application |
ID_Doc |
36625 |
Authors |
Djuana, E; Rahardjo, K; Gozali, F; Tan, S; Rambung, R; Adrian, D |
Title |
Simulating and evaluating an adaptive and integrated traffic lights control system for smart city application |
Year |
2018 |
Published |
|
DOI |
10.1088/1755-1315/106/1/012031 |
Abstract |
A city could be categorized as a smart city when the information technology has been developed to the point that the administration could sense, understand, and control every resource to serve its people and sustain the development of the city. One of the smart city aspects is transportation and traffic management. This paper presents a research project to design an adaptive traffic lights control system as a part of the smart system for optimizing road utilization and reducing congestion. Research problems presented include: (1) Congestion in one direction toward an intersection due to dynamic traffic condition from time to time during the day, while the timing cycles in traffic lights system are mostly static; (2) No timing synchronization among traffic lights in adjacent intersections that is causing unsteady flows; (3) Difficulties in traffic condition monitoring on the intersection and the lack of facility for remotely controlling traffic lights. In this research, a simulator has been built to model the adaptivity and integration among different traffic lights controllers in adjacent intersections, and a case study consisting of three sets of intersections along Jalan K. H. Hasyim Ashari has been simulated. It can be concluded that timing slots synchronization among traffic lights is crucial for maintaining a steady traffic flow. |
Author Keywords |
economic cost of congestion; smart city; smart traffic light control |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
EID |
WOS:000446248300031 |
WoS Category |
Environmental Sciences; Environmental Studies; Urban Studies |
Research Area |
Environmental Sciences & Ecology; Urban Studies |
PDF |
https://doi.org/10.1088/1755-1315/106/1/012031
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