Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation
Urban congestion in major cities of Malaysia is getting severe over decades with increasing active vehicles and travelling time on the road. Part of Intelligent Transportation Systems development involves advanced computation in traffic management to cope for the projecting congestion trend. This wo...
| Autori principali: | , , , , |
|---|---|
| Natura: | Proceedings |
| Lingua: | English English |
| Pubblicazione: |
IEEE
2017
|
| Soggetti: | |
| Accesso online: | https://eprints.ums.edu.my/id/eprint/31484/1/Evolvable%20traffic%20signal%20control%20for%20intersection%20congestion%20alleviation%20with%20enhanced%20particle%20swarm%20optimisation-ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31484/2/Evolvable%20traffic%20signal%20control%20for%20intersection%20congestion%20alleviation%20with%20enhanced%20particle%20swarm%20optimisation.pdf |
Accesso online
https://eprints.ums.edu.my/id/eprint/31484/1/Evolvable%20traffic%20signal%20control%20for%20intersection%20congestion%20alleviation%20with%20enhanced%20particle%20swarm%20optimisation-ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/31484/2/Evolvable%20traffic%20signal%20control%20for%20intersection%20congestion%20alleviation%20with%20enhanced%20particle%20swarm%20optimisation.pdf