Conference Paper2018Cited by 12

Traffic Pattern Analysis from GPS Data: A Case Study of Dhaka City

M. M. Rahman, M. M. M. Shuvo, M. I. Zaber, A. A. Ali

IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT 2018)

IEEE, pp. 1-6

  • Sustainable Cities and Communities — Relevance: 84%
DOI: 10.1109/conecct.2018.8482371URL

Abstract

Traffic congestion is one of the most alarming problems of Dhaka, the capital of Bangladesh. However, not much work had been done on traffic pattern modeling for Dhaka city. In this paper, we analyze traffic intensity pattern computed from GPS data. The data contains traffic intensity information for 11,769 road segments over 15 days. We analyze the impact of marketplaces, number of road intersections, and having rickshaw free roads on the traffic intensity. In order to analyze the traffic pattern at a macroscopic level, we analyze the traffic pattern of the 13 zones of the city proposed by RAJUK, the authority responsible for the development of Dhaka. For each zone we investigate the impact of a number of different factors, e.g., land use, number of bus routes, number of road intersections, on the traffic intensity.

Keywords

  • bus routes
  • street intersections
  • Traffic congestion
  • Land use
  • Traffic intensity
  • marketplaces
  • Dhaka
  • traffic pattern analysis
  • GPS data
  • road sections

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Cited By

  1. 1.Noureen Zafar, Irfan Ul Haq. (2020). Traffic congestion prediction based on Estimated Time of Arrival. PLoS ONE, 15(12), e0238200[10.1371/journal.pone.0238200]
  2. 2.Asif Iqbal, Shirina Afroze, Md. Mizanur Rahman. (2020). Vehicular PM Emissions and Urban Public Health Sustainability: A Probabilistic Analysis for Dhaka City. Sustainability, 12(15), 6284[10.3390/su12156284]
  3. 3.Navin Ranjan, Sovit Bhandari, Pervez Khan, Youn-Sik Hong, Hoon Kim. (2021). Large-Scale Road Network Congestion Pattern Analysis and Prediction Using Deep Convolutional Autoencoder. Sustainability, 13(9), 5108[10.3390/su13095108]
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  5. 5.Noureen Zafar, Irfan Ul Haq, Huniya Sohail, Jawad-Ur-Rehman Chughtai, Muhammad Muneeb. (2022). Traffic Prediction in Smart Cities Based on Hybrid Feature Space. IEEE Access, 10, 134333–134348[10.1109/access.2022.3231448]
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  12. 12.Md. Mahamudur Rahman, Faisal Ahmed, Mahir Faysal Haque Dipto, Md. Minhajul Haque Shafin, S. M. Nafis Shahriar, Pulok Akibuzzaman, Hasan Mahmood Aminul Islam. (2026). Emulating Sensor Profile Towards IoT Simulator Development. , 1–6[10.1109/qpain69676.2026.11546398]
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