| A local dynamic route and green time swapping control algorithm maximizing total network capacity |
| English |
| Viti, Francesco  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit] |
| Rinaldi, Marco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit] |
| 2017 |
| Proceedings of the 25th Mediterranean Conference on Control and Automation, MED 2017 |
| Institute of Electrical and Electronics Engineers Inc. |
| 1148-1153 |
| Yes |
| 25th Mediterranean Conference on Control and Automation, MED 2017 |
| 3 July 2017 through 6 July 2017 |
| [en] Traffic signals ; Behavioral response ; Dynamic signal control |
| [en] This paper deals with the traffic signal control problem. More specifically it investigates the impact at a network level of simple dynamic local traffic control policies. A dynamic route swapping rule is adopted to model the behavioral response of the travellers to signal changes, while a dynamic signal control swapping rule based on an equi-pressure policy is used to implicitly consider the flow response within the control updating process. Results on a simple network show that the flow responsive control policy outperforms pre-timed control, as well as a more conventional local control policy based on signal equi-saturation. Numerical results show also that the swapping rule based on equi-pressure is less susceptible to local optima, to systematically improve total network throughput, and to increase its effectiveness with when demand increases. © 2017 IEEE. |
| http://hdl.handle.net/10993/33450 |
| 10.1109/MED.2017.7984272 |
