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Commuters’ traffic pattern and prediction analysis in a metropolitan area

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Journal on Vehicle Routing Algorithms

Abstract

A metropolitan area is an area with dynamic demands and is one of the main indicators of economic growth of nation. It involves the complexity of efficient analysis and prediction of patterns of growth or decline of traffic volume and patterns of resource utilization with respect to time and place. To solve these complexities, we propose agent-based commuters’ traffic pattern and prediction analysis model in a metropolitan area. The proposed system model is capable of analyzing and predicting the patterns of commuters’ traffic flow volume and resource utilization in each zone and region, using the population density, availability of resources, type of place, time period, and commuters’ and vehicles’ arrival rates. The proposed model provides qualitative form of traffic; increases the probability of measure of unpredictable information; and aids in emergency traffic planning and route-finding services. The result shows the effectiveness of the model at different time periods in a day for forecasting of the resource utilization and changes in traffic volumes in zones and regions in the metropolitan area.

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Authors and Affiliations

  1. Protocol Engineering and Technology Unit, Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India

    Suresh Chavhan & Pallapa Venkataram

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  1. Suresh Chavhan
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  2. Pallapa Venkataram
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Correspondence to Suresh Chavhan.

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Chavhan, S., Venkataram, P. Commuters’ traffic pattern and prediction analysis in a metropolitan area. J Veh Routing Algorithms 1, 33–46 (2018). https://doi.org/10.1007/s41604-017-0004-z

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  • DOI: https://doi.org/10.1007/s41604-017-0004-z

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