The Assessment of Traffic with Self-driving, Cooperating Cars

DOI

10.2991/icmeit-17.2017.87How to use a DOI?

Keywords

Self-driving-cooperating car, Cellular Automata, NaSch model, Traffic.

Abstract

Based on the NaSch traffic model, we propose a mixing traffic flow model for a multilane system. In this model, the characteristic of Self-driving, Cooperating Cars are abstracted as rules, to make the traffic model can be applied to the traffic with Self-driving, Cooperating Cars. Through the simulation in the model, we found that the Self-driving, Cooperating Cars have a great influence on the capabilities of expressway, and have a decisive action on waiting time before traffic light.

Copyright

© 2017, 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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TY  - CONF
AU  - Shaojie Wang
AU  - Yiling Huang
AU  - Yun Sha
PY  - 2017/05
DA  - 2017/05
TI  - The Assessment of Traffic with Self-driving, Cooperating Cars
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 452
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.87
DO  - 10.2991/icmeit-17.2017.87
ID  - Wang2017/05
ER  -