Providing Train Schedules Based on Existing Uncertainties (Case Study: Tehran Subway, Line 5)

Document Type : Scientific - Research

Authors

1 Master of Civil Engineering, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor of Civil Engineering and Transportation, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

3 Assistant Professor of Civil Engineering and Transportation, Karaj Branch, Islamic Azad University, Karaj, Iran

Abstract

Metro is known as one of the most important solutions to the problem of traffic and air pollution in the world. High safety, comfort and convenience of passengers, reduction of energy consumption, reasonable speed, low cost of passenger transportation compared to private cars are among the advantages of city trains over other public transport. Tehran Metro is called the Tehran city train complex and also the "Tehran and Suburbs Urban Railway Company". The metro operates on seven main lines. The purpose of train scheduling is to minimize train travel time from origin to destination, to satisfy passengers and stakeholders, to reduce delays at stations, and to maximize the capacity of lines, stations, and fleets. In this research, the case study is the urban train between Tehran and Karaj. In this study, variables such as train stop time, passenger volume at different hours, customer entry pattern and passenger waiting time have been considered as effective parameters in determining the train time distance. Existing uncertainties, scenarios were developed. The proposed goal is between 6-30 minutes in different scenarios for different hours to ultimately satisfy the citizens, save their time and finally help the urban management system to take steps towards sustainable urban development.

Keywords

References

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Quarterly Journal of Transportation Engineering
Volume 14, Issue 2 - Serial Number 55
January 2023
Pages 2519-2535

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History

  • Receive Date: 02 August 2021
  • Revise Date: 11 October 2021
  • Accept Date: 27 October 2021

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