System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

被引:18
|
作者
Jimenez, Felipe [1 ]
Cabrera-Montiel, Wilmar [1 ]
机构
[1] Tech Univ Madrid UPM, Univ Inst Automobile Res INSIA, Madrid 28031, Spain
来源
ENERGIES | 2014年 / 7卷 / 06期
关键词
fuel consumption; quasi-static simulation; minimization; dynamic programming (DP); energy reduction; congestion; vehicle communications; HYBRID ELECTRIC VEHICLES; FUEL CONSUMPTION; HEAVY TRUCKS; DIGITAL MAPS; SIMULATION; MANAGEMENT; STRATEGIES; ASSISTANCE; ALGORITHM; ACCURACY;
D O I
10.3390/en7063576
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, reducing the energy and fuel consumption of road vehicles is a key issue. Different strategies have been proposed. One of them is to promote Eco-driving behaviour among drivers. Most Eco-driving tips take into account only the road stretch where the vehicle is located. However, larger improvements could be achieved if information from subsequent stretches is used. The main objective of this work is to develop a system to warn the driver in real time of the optimal speed that should be maintained on every road segment in order to optimize the energy used and the fuel consumed while observing a time schedule. The system takes into account the road vertical profile, the fixed and variable speed limits and the traffic information retrieved using V2V and V2I communications. The system has been tested on real road sections with satisfactory results in fuel savings.
引用
下载
收藏
页码:3576 / 3598
页数:23
相关论文
共 50 条
  • [21] A Service Oriented Geoprocessing System for Real-Time Road Traffic Monitoring
    McCullough, Aengus
    James, Philip
    Barr, Stuart
    TRANSACTIONS IN GIS, 2011, 15 (05) : 651 - 665
  • [22] Vehicle emission control on road with temporal traffic information using deep reinforcement learning
    Xu, Zhenyi
    Cao, Yang
    Kang, Yu
    Zhao, Zhenyi
    IFAC PAPERSONLINE, 2020, 53 (02): : 14960 - 14965
  • [23] REAL-TIME DETECTION OF ROAD TRAFFIC INCIDENTS
    Skorput, Pero
    Mandzuka, Sadko
    Jelusic, Niko
    PROMET-TRAFFIC & TRANSPORTATION, 2010, 22 (04): : 273 - 283
  • [24] Ecological driver assistance system using model-based anticipation of vehicle-road-traffic information
    Kamal, M. A. S.
    Mukai, M.
    Murata, J.
    Kawabe, T.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2010, 4 (04) : 244 - 251
  • [25] Set road charges in real time to ease traffic
    Cramton, Peter
    Geddes, R. Richard
    Ockenfels, Axel
    NATURE, 2018, 560 (7716) : 23 - 25
  • [26] Estimating road traffic congestion using vehicle velocity
    Pattara-atikom, W.
    Pongpaibool, P.
    Thajchayapong, S.
    2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, : 1001 - +
  • [27] Roncalli - position dependent in-vehicle real time information for road users - an overview
    Spielhofer, R
    Maurer, P
    Meissner, M
    Machata, K
    Widmann, N
    2005 IEEE Intelligent Transportation Systems Conference (ITSC), 2005, : 1012 - 1016
  • [28] Using routing apps to model real-time road traffic emissions
    Pearce, Helen
    Gong, Zhaoya
    Cai, Xiaoming
    Bloss, William
    WEATHER, 2020, 75 (11) : 341 - 346
  • [29] Real-time road traffic classification using mobile video cameras
    Lapeyronnie, A.
    Parisot, C.
    Meessen, J.
    Desurmont, X.
    Delaigle, J. -F.
    REAL-TIME IMAGE PROCESSING 2008, 2008, 6811
  • [30] Real-Time Monitoring of Road Traffic using Data Stream Mining
    Figueiras, Paulo
    Guerreiro, Guilherme
    Costa, Ruben
    Herga, Zala
    Rosa, Antonia
    Jardim-Goncalves, Ricardo
    2018 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2018,