General Science and Philosophy

    

Simulating Complex Traffic Intersection Dynamics using an Agent-Based Modelling Framework on the NetLogo Platform

Authors: Rahul Joseph Fernandez

This paper proposes a simple agent-based model for traffic intersection dynamics in urban Bangalore, India. Traffic flow dynamics have been studied through the employment of several toolkits such as fluid and nonlinear dynamics, network theory, computer and information science etc. However, the study of phenomena such as congestion necessitates the recognition that each of the agents involved are heterogenous and that collectively their individual behaviours lead to systemic outcomes at the macro level. Agent-Based Models (ABMs) are particularly well equipped to handle inquiries into problems of this nature. Although the model proposed here is specific to a certain intersection, it can be extrapolated to similar settings fairly easily. The presence of jaywalkers in the model is shown to have an adverse effect on the number of vehicles waiting at the intersection.

Comments: 10 Pages.

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Submission history

[v1] 2020-01-30 04:54:05

Unique-IP document downloads: 152 times

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