Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control
| dc.contributor.author | Elouni, Maha | en |
| dc.contributor.author | Abdelghaffar, Hossam M. | en |
| dc.contributor.author | Rakha, Hesham A. | en |
| dc.contributor.department | Virginia Tech Transportation Institute | en |
| dc.contributor.department | Civil and Environmental Engineering | en |
| dc.date.accessioned | 2021-01-08T15:51:30Z | en |
| dc.date.available | 2021-01-08T15:51:30Z | en |
| dc.date.issued | 2021-01-03 | en |
| dc.date.updated | 2021-01-08T14:48:33Z | en |
| dc.description.abstract | This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram (NFD), was applied on the borders of a protected urban network (PN) to prevent and/or disperse traffic congestion. The operation of gating control and local adaptive controllers was compared to the operation of the developed DNB traffic signal controller. The controllers were implemented and their performance assessed on a grid network in the INTEGRATION microscopic simulation software. The results show that the DNB controller, although not designed to solve perimeter control problems, successfully prevents congestion from building inside the PN and improves the performance of the entire network. Specifically, the DNB controller outperforms both gating and non-gating controllers, with reductions in the average travel time ranging between <inline-formula><math display="inline"><semantics><mrow><mn>21</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><mn>41</mn><mo>%</mo></mrow></semantics></math></inline-formula>, total delay ranging between <inline-formula><math display="inline"><semantics><mrow><mn>40</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><mn>55</mn><mo>%</mo></mrow></semantics></math></inline-formula>, and emission levels/fuel consumption ranging between <inline-formula><math display="inline"><semantics><mrow><mn>12</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><mrow><mn>20</mn><mo>%</mo></mrow></semantics></math></inline-formula>. The results demonstrate statistically significant benefits of using the developed DNB controller over other state-of-the-art centralized and decentralized gating/adaptive traffic signal controllers. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Elouni, M.; Abdelghaffar, H.M.; Rakha, H.A. Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control. Sensors 2021, 21, 274. | en |
| dc.identifier.doi | https://doi.org/10.3390/s21010274 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/101807 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | perimeter control | en |
| dc.subject | NFD | en |
| dc.subject | adaptive control | en |
| dc.subject | game theory | en |
| dc.subject | DNB | en |
| dc.title | Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control | en |
| dc.title.serial | Sensors | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |