Abstract
The purpose of this paper is to propose an optimal traffic signal control in accordance with traffic density to change every moment in traffic network. We focus on calculating optimal signaling split based on traffic volume prediction by model predictive control. Therefore, we aim the achievement of alleviation of congestion in traffic network considering actual traffic situation. Finally the achievement of the purpose is evaluated by controlling of traffic signal in numerical simulations and the relationship between green time and traffic density is examined.
| Original language | English |
|---|---|
| Title of host publication | 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1273-1278 |
| Number of pages | 6 |
| ISBN (Electronic) | 9784907764500 |
| DOIs | |
| Publication status | Published - 2016 Nov 18 |
| Event | 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 - Tsukuba, Japan Duration: 2016 Sept 20 → 2016 Sept 23 |
Other
| Other | 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 |
|---|---|
| Country/Territory | Japan |
| City | Tsukuba |
| Period | 16/9/20 → 16/9/23 |
Keywords
- Intelligent Transport system
- Model Predictive Control
- Traffic signal control
ASJC Scopus subject areas
- Control and Optimization
- Instrumentation
- Control and Systems Engineering