Development of spatiol network for optimal routing of BRT lines

Subject Areas : GIS

Zahra Abbasi ¹ , aliasghar alesheikh ² , saeed behzadi ³ , hossein aghamohammadi ⁴

1 - AM,RS/GIS, Azad University(Tehran alom tahghighat)
2 - Full Professor, Department of GIS Engineering, K. N. Toosi University of Technology, Tehran, Iran.
3 - Assistant Professor, Department of Surveying Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
4 - Assistant Professor, GIS/RS Department, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2019-09-17 Accepted : 2020-02-07 Published : 2020-10-22

Keywords: Allocation information systems, Optimization, BRT, Allocation,

Abstract :

Background and Objective: Numerous routing methods of public transportation systems have been designed. The main challenge of optimum routing of urban public transportation systems is defined as the determination of the optimal locations of the stations and the routh lengths in a city. Method: To address the challeng designers are confronted with a wide range of criteria, among which cost, time and coathing are the most important ones. In this paper, routing optimization for a configuration of 9 bus lines in one of the Tehran districts was implemented. In order to optimize the bus routes, the origin and destination of each line were considered fixed and the intermediate routes were optimized. Eight factors consisting of: road capacity (LOS), land use, pavement status, crossing line width, components of road cross sections, population density and length of each edge (Arc) were selected for optimization process. According to the importance of each factor for routing, a special weighting coefficient were assigned to each criteria. After implementating Dijkstra algorithm, the routes of 5 bus lines must be changed. The line direction changing subsequently caused to new stations allocation requirement. Findings: After determining the allocation criteria and creating corresponding layers, 16 new stations were allocated. Finally, the proposed routes between these stations were identified. Discussion and Conclusion: One of the most important aspects of innovation in this study is the use of GIS capabilities to provide novel solutions for optimal routing of BRT lines.  

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