Traffic Flow Models for Road Network with Intersections

DOI

10.2991/emim-17.2017.311How to use a DOI?

Keywords

Traffic flow model; Road network with intersections; Multi-agent

Abstract

This paper discussed the influence of the self-driving car on the traffic flow, and presented the traffic-density-velocity traffic flow (TDVTF) model and cellular automata model based on multi-agent. From the law of conservation, the single lane, multi-lane TDVTF models and TDVTF models for road network with intersections are established. As for multi-lane TDVTF model, the function of self-driving car proportion with respect to self-driving car density and human- driving car density are obtained.

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  - Zhongwen Chen
PY  - 2017/04
DA  - 2017/04
TI  - Traffic Flow Models for Road Network with Intersections
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1542
EP  - 1545
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.311
DO  - 10.2991/emim-17.2017.311
ID  - Chen2017/04
ER  -