Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)

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Velocity Planning System Based on Intelligent Vehicle Infrastructure Cooperative Technology

Authors
Changqing Dong, Chen Chen, Xiaowei Chen, Haibo Dong, Kaixin Yang, Song Li
Corresponding Author
Changqing Dong
Available Online September 2018.
DOI
10.2991/wartia-18.2018.14How to use a DOI?
Keywords
velocity planning algorithm, Intelligent vehicle infrastructure cooperative, ZigBee, road side unit, on board unit
Abstract

Travel time, fuel consumption and carbon dioxide emissions are directly related to the vehicle velocity. In this paper, we aim to give a velocity planning system based on intelligent vehicle infrastructure cooperative technology. The system contains two units: road side unit (RSU) and on board unit (OBU). RSU and OBU exchange information with ZigBee protocol. RSU gives dynamic speed advice to OBU by velocity planning algorithm so that the probability of having a green phase is maximized when approaching signalized intersections and the vehicle never exceeds the speed limit and it will pass through the intersection without coming to a stop and driver maybe get to destination without idling. Using a stochastic simulation technique, the velocity planning algorithm has been tested on Veins platform, the results show that the energy/emission savings for vehicles with velocity planning system are found to be 26%~27% and the travel time on an average is 1.8% shorter for the vehicles with velocity planning system as compared to the vehicles without velocity planning system.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
10.2991/wartia-18.2018.14
ISSN
2352-5401
DOI
10.2991/wartia-18.2018.14How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Changqing Dong
AU  - Chen Chen
AU  - Xiaowei Chen
AU  - Haibo Dong
AU  - Kaixin Yang
AU  - Song Li
PY  - 2018/09
DA  - 2018/09
TI  - Velocity Planning System Based on Intelligent Vehicle Infrastructure Cooperative Technology
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 67
EP  - 74
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.14
DO  - 10.2991/wartia-18.2018.14
ID  - Dong2018/09
ER  -