Research on Energy-saving Approach of Multi-modal Vehicles Based on Traffic Signal Control

被引:0
作者
Xu, Shengpeng [1 ]
Zhang, Chengduo [1 ]
Wang, Huicheng [1 ]
Xu, Shengtao [2 ]
Liu, Wenzhao [1 ]
机构
[1] State Grid ZIBO Power Supply Co, Zibo, Shandong, Peoples R China
[2] State Grid YANTAI Power Supply Co, Yantai, Shandong, Peoples R China
来源
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
关键词
Internet of Vehicles (IoV); multi-modal energy efficient traffic signal (MEETS); Energy-saving; INTERSECTIONS; OPTIMIZATION; EFFICIENCY;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Nowadays, as the city traffic situation becomes more and more complicated, and the people for energy-saving emission reduction initiatives, the existing signal control strategy can no longer meet the needs of modern society. At present, the idea of use Internet of Vehicles (IoV) to improve the control of traffic lights and to make the energy consumption of the vehicles as low as possible has attracted more and more attention. Therefore, the multimodal energy efficient traffic signal (MEETS) control algorithm is designed in this paper. The algorithm uses a dynamic programming method to formulate a strict schedule for each vehicle arriving at the crossroads to minimize the overall energy consumption of vehicles passing through the crossroads. At the end of the paper, the simulation results show that the MEETS can effectively improve traffic, reduce energy use as well as supporting multi-modal traffic.
引用
收藏
页数:6
相关论文
共 50 条
[31]   Energy-Saving Control in Multistage Production Systems Using a State-Based Method [J].
Li, Yang ;
Cui, Peng-Hao ;
Wang, Jun-Qiang ;
Chang, Qing .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (04) :3324-3337
[32]   Study on Energy-Saving Optimization of Train Coasting Control Based on Multi-Population Genetic Algorithm [J].
Lin, Chao ;
Fang, Xingqi ;
Zhao, Xia ;
Zhang, Qiongyan ;
Liu, Xun .
2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2017, :627-632
[33]   Energy-Saving Speed Planning for Electric Vehicles Based on RHRL in Car following Scenarios [J].
Xu, Haochen ;
Zhang, Niaona ;
Li, Zonghao ;
Zhuo, Zichang ;
Zhang, Ye ;
Zhang, Yilei ;
Ding, Haitao .
SUSTAINABILITY, 2023, 15 (22)
[34]   Research of Energy-saving Control of Oil-well Power Heater Based on RNN Neural Network [J].
SUN Jingen ;
YANG Yang .
沈阳理工大学学报, 2014, 33 (04) :87-94
[35]   Energy-saving and CO2 reduction strategies for new energy vehicles based on the integration approach of voluntary advocacy and system dynamics [J].
Shuwei Jia ;
Yuyang Gao ;
Yuying Guo ;
Haoyi Ma ;
Yao Li ;
Haiping Yu .
Environmental Science and Pollution Research, 2024, 31 :14804-14819
[36]   Energy-saving and CO2 reduction strategies for new energy vehicles based on the integration approach of voluntary advocacy and system dynamics [J].
Jia, Shuwei ;
Gao, Yuyang ;
Guo, Yuying ;
Ma, Haoyi ;
Li, Yao ;
Yu, Haiping .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (10) :14804-14819
[37]   An Energy-saving Control System to Street Lamp Based on Sensor Networks [J].
Li Xiaoguang ;
Xiao Pingping ;
Zhu Juan .
ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY III, PTS 1-4, 2013, 397-400 :1430-1433
[38]   Energy-Saving Mechanism in WDM/TDM-PON Based on Upstream Network Traffic [J].
Garfias, Paola ;
De Andrade, Marilet ;
Tornatore, Massimo ;
Buttaboni, Anna ;
Sallent, Sebastia ;
Gutierrez, Lluis .
PHOTONICS, 2014, 1 (03) :235-250
[39]   Energy-saving Optimization Mechanism for WiFi Direct Based on Power Control [J].
Guo Z.-B. ;
Li F.-L. ;
Liang B.-C. ;
Zhang X.-R. ;
Sun L. .
Ruan Jian Xue Bao/Journal of Software, 2021, 32 (08) :2439-2456
[40]   Energy-Saving Oriented On/Off Strategies in Heterogeneous Networks : an Asynchronous Approach with Dynamic Traffic Variations [J].
Tang, Lun ;
Wang, Weili ;
Chen, Qianbin .
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 12 (11) :5449-5464