Cell Automata Based Two Lanes Freeway Traffic Simulation

DOI

10.2991/wartia-16.2016.116How to use a DOI?

Keywords

traffic flow simulation, cellular automata, Nagel-Schreckenberg Car Following, lane changing.

Abstract

The research goal of traffic flow theory is to set up a traffic flow model which can describe the actual traffic general characteristic, finding the basic rule of traffic flow. Due to the nature of the cellular automata, applying the cellular automata to the traffic flow has become a hot issue in the field of traffic flow. Cellular automata traffic flow model is established for simulation as a means to reveal the rule of traffic flow.In this paper, based on cellular automata model, we established two-lane traffic flow simulation model according to cars following rules of Mr Nagel and Schreckenberg and “safety-incentive” lane changing rules. And simulate the model on the multi-agent simulation platform Netlogo.

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  - Run Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Cell Automata Based Two Lanes Freeway Traffic Simulation
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 569
EP  - 572
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.116
DO  - 10.2991/wartia-16.2016.116
ID  - Zhang2016/05
ER  -