Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh

Labib, S. M., Mohiuddin, H., Hasib, I. M. A., Sabuj, S. H., & Hira, S., Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh. Urban Science, 3(2), 41, 2019

23 Pages Posted: 13 Mar 2020

See all articles by S.M. Labib

S.M. Labib

University of Manchester - School of Environment and Development

Hossain Mohiuddin

University of Iowa - School of Urban and Regional Planning

Irfan Mohammad Al Hasib

Pi Labs Bangladesh Ltd

Shariful Hasnine Sabuj

Dmoney Bangladesh Limited

Shrabanti Hira

SilvaCarbon-NASA

Date Written: April 12, 2019

Abstract

A growing body of research has applied intelligent transportation technologies to reduce traffic congestion at signalized intersections. However, most of these studies have not considered the systematic integration of traffic data collection methods when simulating optimum signal timing. The present study developed a three-part system to create optimized variable signal timing profiles for a congested intersection in Dhaka, regulated by fixed-time traffic signals. Video footage of traffic from the studied intersection was analyzed using a computer vision tool that extracted traffic flow data. The data underwent a further data-mining process, resulting in greater than 90% data accuracy. The final data set was then analyzed by a local traffic expert. Two hybrid scenarios based on the data and the expert’s input were created and simulated at the micro level. The resultant, custom, variable timing profiles for the traffic signals yielded a 40% reduction in vehicle queue length, increases in average travel speed, and a significant overall reduction in traffic congestion.

Keywords: Traffic Congestion; Intelligent Transportation; Vehicle Detection; Microscopic Traffic Simulation; VISSIM; Urban Transportation; Road Traffic Monitoring; Traffic Signal Control; Data Mining; openCV

Suggested Citation

Labib, S.M. and Mohiuddin, Hossain and Al Hasib, Irfan Mohammad and Sabuj, Shariful Hasnine and Hira, Shrabanti, Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh (April 12, 2019). Labib, S. M., Mohiuddin, H., Hasib, I. M. A., Sabuj, S. H., & Hira, S., Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh. Urban Science, 3(2), 41, 2019. Available at SSRN: https://ssrn.com/abstract=3538912

S.M. Labib (Contact Author)

University of Manchester - School of Environment and Development ( email )

Manchester
United Kingdom

Hossain Mohiuddin

University of Iowa - School of Urban and Regional Planning ( email )

United States

Irfan Mohammad Al Hasib

Pi Labs Bangladesh Ltd ( email )

Bangladesh

Shariful Hasnine Sabuj

Dmoney Bangladesh Limited ( email )

Bangladesh

Shrabanti Hira

SilvaCarbon-NASA ( email )

United States

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