Traffic Congestion Control by Centralized Vehicle Takeover in Smart City with Agent-Based Model

Investigate how effectively a centralized takeover strategy can mitigate traffic congestion in simulated highway based on agent-based model in a smart city context.

Github: Laika404/ComputationalProject

This project tried to investigate how effectively a centralised takeover strategy can mitigate traffic congestion in simulated highway based on agent-based model. This was done through the reproduction of an already existent agent-based model based on a paper by [1]. The model was expanded upon by adding agent behaviour for multiple lanes and logic that simulates a central controller. It was hypothesized that centralized vehicle takeover will be significantly more effective than human-based models in mitigating congestion. This was confirmed as the central vehicle takeover managed to increase the average speed of the vehicles and maintain a higher flow under congested conditions.

My Role

Defining Model Classes, data visualization, poster creation, speaker for pitch and Q&A.

Visualization

Poster

Documentation Link

Final Report: PCS_report.pdf
Final Poster: Poster.pdf

[1] Zhang, Fa, Jinling Li, and Qiaoxia Zhao (2005). “Single-lane traffic simulation with multi-agent system”. In: Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. IEEE, pp. 56–60.