Simulation model development of traffic signal light control with emergency vehicle preferential treatment : a case study of Bangkok | |
| Author | Malabanan, Isrrah Colaling |
| Call Number | AIT Thesis no.TE-20-05 |
| Subject(s) | Traffic signs and signals--Mathematical models--Thailand--Bangkok Electronic traffic controls--Thailand--Bangkok Emergency vehicles--Thailand--Bangkok |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Emergency vehicles (EVs) must reach their destination within the shortest amount of time considering the importance of their service in saving lives and reducing property damage. Possible sources of delay that they experience along their route are red signal indications and downstream queues at signalized intersections. Currently, most traffic light control systems in the country’s capital are pretimed and sometimes manually operated by traffic enforcers. These conventional practices also do not give preference to those providing crucial services to the public. This research aimed to reduce the delay experienced by these vehicles through the alteration of traffic control signals that would give preferential treatment to EVs upon detection. Specifically, this study developed efficient ways of prioritizing EVs by comparing average vehicle and EV delays of three algorithms with concepts of emergency vehicle preemption (EVP), longest queue first, and transit signal priority (TSP) at Tuk Chai Intersection in Bangkok. Through traffic simulation approach via VISSIM software and its COM interface, it was found that the algorithm of EV preferential treatment with TSP strategies produced a competitive and robust performance having significantly least average EV delay with minimal negative effect to the general traffic regardless of the traffic condition for fixed EV input scenario. The second algorithm of longest queue first with preemption is also an efficient approach with significantly least average vehicle and EV delay values in settings of light traffic and peak hour condition for both stochastic and fixed EV input scenarios. |
| Year | 2021 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong; |
| Examination Committee(s) | Ampol Karoonsoontawong;Santoso, Djoen San ; |
| Scholarship Donor(s) | His Majesty the King's Scholarships (Thailand); |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2021 |