Mixed Traffic Flow Model with Cellular Automata

DOI

10.2991/icsnce-16.2016.31How to use a DOI?

Keywords

Urban road; Traffic flow; Cellular automata; Lateral interference

Abstract

Urban transportation with multiple traffic modes is quite a complex system, where pedestrian-vehicle mixed flows play important roles. This paper is to analyze the effect of pedestrians' crossing street on vehicle flows based on the investigation of their traffic characteristics. Rules of lane changing, acceleration, deceleration, randomization and update are modified here to simulate real traffic flows better. Then an urban two-lane cellular automata model of traffic flows is established under the above rules. MATLAB is used for numerical simulation of different traffic conditions. Meanwhile, space-time diagram and relational graphs of traffic flow parameters are generated and then comparatively analyzed. The analyzation results illustrate that the proposed model is in good consistence with real situation and can provide some practical reference for urban traffic management.

Copyright

© 2016, 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  - Shuo Yang
PY  - 2016/07
DA  - 2016/07
TI  - Mixed Traffic Flow Model with Cellular Automata
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.31
DO  - 10.2991/icsnce-16.2016.31
ID  - Yang2016/07
ER  -