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Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects

  • Chathura Rajapakse
  • Lakshika Amarasinghe
  • Kushan Ratnayake
Chapter
Part of the Agent-Based Social Systems book series (ABSS, volume 12)

Abstract

Traffic congestion is bringing in severe disadvantages to the economy of Sri Lanka. Fuel cost and wastage, air pollution, loss of productivity, as well as unpleasant sights in major cities are among key negative consequences. Lots of short- and long-term measures have been taken by the government through various controls and infrastructure development, but the problem seems to be remaining unsolved if not becoming worse. Alternatively, we propose to study the traffic congestion from a social perspective pertaining to the lifestyles and decision-making patterns of urban and suburban communities as well as the behaviors of drivers and pedestrians. We present the details of an agent-based simulation model developed to study the impact of seepage behavior, which means the smaller vehicles moving forward through the gaps between larger vehicles without following the lanes in the traffic congestion. We further discuss a prospective future research along the same direction, which aims at predicting the impact of the growing motor-biking culture on the urban traffic congestion in Sri Lanka.

Keywords

Agent-based modeling Social simulation Seepage behavior Traffic congestion Swarm intelligence Sri Lanka 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Chathura Rajapakse
    • 1
  • Lakshika Amarasinghe
    • 1
  • Kushan Ratnayake
    • 1
  1. 1.Faculty of Science, Department of Industrial ManagementUniversity of KelaniyaDalugama, KelaniyaSri Lanka

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