Development of spatiol network for optimal routing of BRT lines

Subject Areas : GIS

Zahra Abbasi ¹ (AM,RS/GIS, Azad University(Tehran alom tahghighat))
aliasghar alesheikh ² (Full Professor, Department of GIS Engineering, K. N. Toosi University of Technology, Tehran, Iran.)
saeed behzadi ³ (Assistant Professor, Department of Surveying Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.)
hossein aghamohammadi 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.  

References:

1. Ayati, E. Bagheri, M. (1385). Coverage method for optimal routing of LRT urban style train. Transportation Research Journal, Third Year, No. 1, pp. 1-11. (In Persian)


2. Afandi Zadeh, Sh. Porteimouri, M. (1385). Provide a quick design methodology for the bus system, a case study of Kermanshah. Transportation Research Journal. No. 3. p. 21-28. (In Persian)


3. Al Sheikh, A. Soltani, M and Hilali, H. (1381). GIS application in site selection of flood spreading areas. Quarterly journal of geographic research, seventh year, issue 4 (winter). P. 21-29. (In Persian)


4. Behbahani, H and Ziari, H. (1374). Traffic Engineering Theory and Application. First edition, Tehran Traffic Transportation Organization Press, Tehran, pp. 19-21 and 49. (In Persian)


5. Roya Habibi, Ali A. Alesheikh, Ali Mohammadinia and Mohammad Sharif (2017). “An Assessment of Spatial Pattern Characterization of Air Pollution: A Case Study of CO and PM2.5 in Tehran, Iran.” International Journal of Geo-Information. Vol.6, NO.6. pp 270 doi: 10.3390/ijgi6090270. (In Persian)


6. Peshizkar, A and Ghaffari Gilanadeh, A. (1385). Geographic Information System and Multi-criteria Decision Analysis. Malchovsky, Yalikak. Printing, Printing and Publishing Organization, Ministry of Culture and Guidance (office), Tehran, pp. 306-336. (In Persian)


7. Tehran Comprehensive Traffic Transportation Studies (2000). Summary of project reports feasibility and routing of public high-speed systems. Report No. (153-1). (In Persian)


8. Pour Ahmad, Ahmad, and Behzad Omranzadeh. "The Evaluation of Bus Rapid Transit (BRT) in Tehran Metropolis and Offering Strategies for its Development, Using SWOT Technique." Research and Urban Planning 3, no. 15 (2013): 17. (In Persian)


9. Ziari, K. Haji Sharifi, A and Ramezanzadeh, M. (1392)." Investigate the level of satisfaction pf the BRT system (case study: line (3) (Terminals of Elm-O-Sanat-Khavaran)". Journal of Spatial Planning. No. 8. p. 57-74. (In Persian)


10. Sadr Sadat, H. (1382). Designing a Bus Network Using Genetic Algorithm. Master Paper, Sharif University of Technology. (In Persian)


11. Arabi, M. (1381). Traffic Engineering. Second Edition, Guilan University Press, Rasht, pp. 13, 16-17, 20-22, 27 and 44. (In Persian)


12. Azizi, M. (1383). Application of Geographic Information Systems in site selection, Spatial Distribution and Network Analysis of Health Centers in Case Study of Mahabad. Master's Paper in Geography and Urban Planning from Tabriz University. No. 66872. p. 30-, 38-43, 54-56, 102 and 130. (In Persian)


13. 13.   Ghibi, F. (1384). Designing a network of bus lines in the dynamics of the network with the help of neural networks. "M.Sc. paper, Imam Khomeini International University, Qazvin. (In Persian)


14. Meharabian, V. (1382). An Innovative Method for Routing the Urban Style LRT Train Case Study of Mashhad. Master Paper, Sharif University of Technology. (In Persian)


15. Teimourian, F. Al Sheikh, A. Ali Mohammadi, A and Sadeghi Nayarki, A. (1393). "Development of Information and Evaluation System for Urban Bus Performance by Using Vigilance Data (VGI)" Journal of Research in Transportation Engineering. Volume 6. Number 2. Winter 93. Pages 225-236. (In Persian)


16. Behzadi, S and Al Sheikh, A. (1391). "Development of Routing Algorithm Based on the Model of Bover-Mill-Nit of Smart Factors" Journal of Surveying Science and Technology. Journal of Surveying Sciences and Technologies. Second course number two. Pages 1-1. (In Persian)


17. Alavand,M. Malek, M and Al Sheikh,A. (2010) "Improving routing algorithms in mobile spatial information systems through path risk estimation" Journal of Science and Technology, Vol. 1, No. 2, pp. 184-210. (In Persian)


18. Houshangi,N and Allsheikh,A. (1396) " Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy‌ TOPSIS and Sugeno-type Fuzzy Inference Methods" Journal of Geography and Planning. Vol. 21, No. 59, pp. 303-327. (In Persian)


19. Rahbar, M. and Alesheikh, A. (1395). "Developing a weighted-base map matching algorithm with the focus on modeling parameters and weights optimization". Journal of Geospatial Information Technology, Vol.4, No.2, pp. 103-122. (In Persian)