Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems
Traffic light is the core part of advanced transportation management systems. Assuming travelers receive and follow the route guidance information designed by two specific route choice strategies, this paper investigates how the traffic lights rule, period and its quantity affect the traffic system...
| Główni autorzy: | , , , , , |
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| Kolejni autorzy: | |
| Format: | Journal Article |
| Język: | English |
| Wydane: |
2017
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| Hasła przedmiotowe: | |
| Dostęp online: | https://hdl.handle.net/10356/85994 http://hdl.handle.net/10220/43916 |
| _version_ | 1826119697987272704 |
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| author | Chen, Bokui Wang, David Zhi Wei Gao, Yachun Zhang, Kai Miao, Lixin Wang, Binghong |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Chen, Bokui Wang, David Zhi Wei Gao, Yachun Zhang, Kai Miao, Lixin Wang, Binghong |
| author_sort | Chen, Bokui |
| collection | NTU |
| description | Traffic light is the core part of advanced transportation management systems. Assuming travelers receive and follow the route guidance information designed by two specific route choice strategies, this paper investigates how the traffic lights rule, period and its quantity affect the traffic system performance on a Manhattan-like urban network. Firstly, the simulation results of the average flow against the traffic density and the vehicle distribution are studied under four traffic light rules. Then the relationship between the extremum of average speed and traffic light period is complementally analyzed and the theoretical results have been proved basically in agreement with the simulation results. Lastly, the effects of the number of traffic lights on average flow and vehicle distribution are discussed. From these results, it is concluded that the traffic system performance can be improved if the anticlockwise rule combined with the congestion coefficient feedback strategy-based route guidance is adopted and the number of traffic lights is reduced to its minimum requirement. |
| first_indexed | 2024-10-01T05:04:19Z |
| format | Journal Article |
| id | ntu-10356/85994 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:04:19Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/859942020-03-07T11:43:36Z Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems Chen, Bokui Wang, David Zhi Wei Gao, Yachun Zhang, Kai Miao, Lixin Wang, Binghong School of Civil and Environmental Engineering Traffic light Cellular automaton models Traffic light is the core part of advanced transportation management systems. Assuming travelers receive and follow the route guidance information designed by two specific route choice strategies, this paper investigates how the traffic lights rule, period and its quantity affect the traffic system performance on a Manhattan-like urban network. Firstly, the simulation results of the average flow against the traffic density and the vehicle distribution are studied under four traffic light rules. Then the relationship between the extremum of average speed and traffic light period is complementally analyzed and the theoretical results have been proved basically in agreement with the simulation results. Lastly, the effects of the number of traffic lights on average flow and vehicle distribution are discussed. From these results, it is concluded that the traffic system performance can be improved if the anticlockwise rule combined with the congestion coefficient feedback strategy-based route guidance is adopted and the number of traffic lights is reduced to its minimum requirement. MOE (Min. of Education, S’pore) Accepted version 2017-10-17T07:57:50Z 2019-12-06T16:14:01Z 2017-10-17T07:57:50Z 2019-12-06T16:14:01Z 2017 Journal Article Chen, B., Wang, D. Z. W., Gao, Y., Zhang, K., Miao, L., & Wang, B. (2017). Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems. Transportmetrica B: Transport Dynamics, in press. 2168-0566 https://hdl.handle.net/10356/85994 http://hdl.handle.net/10220/43916 10.1080/21680566.2016.1216810 en Transportmetrica B: Transport Dynamics © 2016 Hong Kong Society for Transportation Studies (published by Taylor & Francis). This is the author created version of a work that has been peer reviewed and accepted for publication in Transportmetrica B: Transport Dynamics, published by Taylor & Francis on behalf of Hong Kong Society for Transportation Studies. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/21680566.2016.1216810]. 15 p. application/pdf |
| spellingShingle | Traffic light Cellular automaton models Chen, Bokui Wang, David Zhi Wei Gao, Yachun Zhang, Kai Miao, Lixin Wang, Binghong Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title | Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title_full | Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title_fullStr | Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title_full_unstemmed | Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title_short | Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems |
| title_sort | effects of traffic lights for manhattan like urban traffic network in intelligent transportation systems |
| topic | Traffic light Cellular automaton models |
| url | https://hdl.handle.net/10356/85994 http://hdl.handle.net/10220/43916 |
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