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
  • [21] An energy-saving control method based on multi-sensor system for solar street lamp
    Zhang, Guo-sheng
    Su, Jian-feng
    Li, Yang
    Sun, Jing-hua
    Zhao, Chong
    2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2010), VOL 4, 2010, : 506 - 509
  • [22] Energy-saving Control of Greenhouse Climate Based on MOCC Strategy
    Xu, Lihong
    Hu, Haigen
    Zhu, Bingkun
    WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), 2009, : 645 - 650
  • [23] Energy-saving tracking control and experiment of nonlinear active suspension for multi-axle vehicles considering road slope
    Liu, Wenbin
    Gong, Mingde
    Chen, Hao
    Zhao, Dingxuan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 226
  • [24] Energy-Saving Driving Assistance System Integrated With Predictive Cruise Control for Electric Vehicles
    Hong, Jinlong
    Luo, Xi
    Wu, Hao
    Na, Xiaoxiang
    Chu, Hongqing
    Gao, Bingzhao
    Chen, Hong
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (03): : 4518 - 4528
  • [25] The architecture research of the building external shading and building energy-saving system based on the intelligent control
    Hui, Zhigang
    Guo, Pengwei
    Wang, Xiaoli
    APPLIED ENERGY TECHNOLOGY, PTS 1 AND 2, 2013, 724-725 : 1714 - 1718
  • [26] Research on Energy Management of Hybrid Unmanned Aerial Vehicles to Improve Energy-Saving and Emission Reduction Performance
    Bai, Mingliang
    Yang, Wenjiang
    Song, Dongbin
    Kosuda, Marek
    Szabo, Stanislav
    Lipovsky, Pavol
    Kasaei, Afshar
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (08)
  • [27] Research on Energy-saving Speed Curve of Heavy Haul Train Based on Reinforcement Learning
    Zhang, Wei
    Sun, Xubin
    Liu, Zhongtian
    Yang, Liu
    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 2523 - 2528
  • [28] An Energy-Saving Torque Vectoring Control Strategy for Electric Vehicles Considering Handling Stability Under Extreme Conditions
    Hu, Xiao
    Chen, Hong
    Li, Zihan
    Wang, Ping
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 10787 - 10796
  • [29] Priority-Based Traffic Signal Coordination System With Multi-Modal Priority and Vehicle Actuation in a Connected Vehicle Environment
    Das, Debashis
    Altekar, Niraj Vasant
    Head, K. Larry
    TRANSPORTATION RESEARCH RECORD, 2023, 2677 (05) : 666 - 681
  • [30] Energy-Saving Control in Multistage Production Systems Using a State-Based Method
    Li, Yang
    Cui, Peng-Hao
    Wang, Jun-Qiang
    Chang, Qing
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (04) : 3324 - 3337