Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles
Inappropriate driving behaviours can result in additional fuel consumption and emissions. Drivers can be informed of the accurate signal phase and timing (SPaT) and distance information of the current intersection and downstream intersections via vehicle-to-everything (V2X) communications. The real-...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/1609834 |
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| _version_ | 1832547192624119808 |
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| author | Xiangmo Zhao Xia Wu Qi Xin Kang Sun Shaowei Yu |
| author_facet | Xiangmo Zhao Xia Wu Qi Xin Kang Sun Shaowei Yu |
| author_sort | Xiangmo Zhao |
| collection | DOAJ |
| description | Inappropriate driving behaviours can result in additional fuel consumption and emissions. Drivers can be informed of the accurate signal phase and timing (SPaT) and distance information of the current intersection and downstream intersections via vehicle-to-everything (V2X) communications. The real-time information has been utilized to assist drivers in taking reasonable manoeuvres and gain lots of benefits on fuel consumption and emissions in some existing studies. In order to cooperatively address the optimization problem on the signalized arterial corridors, this paper presents an eco-driving optimization model considering preceding SPaT and position information. This model can be applied to pass two successive traffic signals cooperatively during green phase. In this study, a multi-stage optimal approach is proposed to minimize the fuel consumption. Field experiments are carried out for comparative analysis between the connected vehicle with speed advisory and the uninformed vehicle without speed advisory. The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization. |
| format | Article |
| id | doaj-art-f7ab877f51594fcf9b7030d49a3239fb |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-f7ab877f51594fcf9b7030d49a3239fb2025-02-03T06:45:54ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/16098341609834Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected VehiclesXiangmo Zhao0Xia Wu1Qi Xin2Kang Sun3Shaowei Yu4The Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Chang’an University, Xi’an 710064, ChinaThe Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Automotive Transportation Safety Techniques of Ministry of Transport, Chang’an University, Xi’an 710064, ChinaThe Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Chang’an University, Xi’an 710064, ChinaSchool of Information Engineering, Chang’an University, Xi’an 710064, ChinaInappropriate driving behaviours can result in additional fuel consumption and emissions. Drivers can be informed of the accurate signal phase and timing (SPaT) and distance information of the current intersection and downstream intersections via vehicle-to-everything (V2X) communications. The real-time information has been utilized to assist drivers in taking reasonable manoeuvres and gain lots of benefits on fuel consumption and emissions in some existing studies. In order to cooperatively address the optimization problem on the signalized arterial corridors, this paper presents an eco-driving optimization model considering preceding SPaT and position information. This model can be applied to pass two successive traffic signals cooperatively during green phase. In this study, a multi-stage optimal approach is proposed to minimize the fuel consumption. Field experiments are carried out for comparative analysis between the connected vehicle with speed advisory and the uninformed vehicle without speed advisory. The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization.http://dx.doi.org/10.1155/2020/1609834 |
| spellingShingle | Xiangmo Zhao Xia Wu Qi Xin Kang Sun Shaowei Yu Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles Journal of Advanced Transportation |
| title | Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles |
| title_full | Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles |
| title_fullStr | Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles |
| title_full_unstemmed | Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles |
| title_short | Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles |
| title_sort | dynamic eco driving on signalized arterial corridors during the green phase for the connected vehicles |
| url | http://dx.doi.org/10.1155/2020/1609834 |
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