فصلنامه علمی کارافن

فصلنامه علمی کارافن

بررسی تاثیر تقاطعات چراغ‌دار در طراحی ایمن شبکه راه‌های درون شهری

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان
1 دانشجو دکتری، گروه مهندسی راه و ترابری، دانشکده عمران و محیط زیست، دانشگاه تربیت مدرس، تهران، ایران.
2 دانشیار گروه مهندسی راه و ترابری، دانشکده عمران و محیط زیست، دانشگاه تربیت مدرس، تهران، ایران.
چکیده
اصلی‌ترین زیرساخت تسهیل تردد کاربران راه در یک شهر، شبکه راه‌های آن است. طراحی و ارایه یک شبکه مطلوب حمل و نقل شهری، نه تنها دارای تاثیر مستقیم بر کیفیت خدمات لازم برای کاربران بلکه یکی از ارکان اصلی پیشرفت سایر زیرساخت‌ها نیز است. در چنین شرایطی ضرورت دارد تا طراحی شبکه راه‌های شهری جامع و با در نظر گرفتن مولفه‌های موثر در آن باشد. نکته قابل توجه این است که مبنای طراحی شبکه راه‌ها در یک شهر صرفا مبتنی بر بهبود زمان سفر کاربران شبکه حمل و نقل است و مولفه‌های دیگری از جمله ایمنی کاربران مغفول مانده است. مسئله اصلی در طراحی شبکه راه، یافتن بهترین گزینه بهبود شبکه با در نظر گرفتن محدودیت‌های مسئله است. این مسئله عموما به صورت یک مدل دوسطحی دنبال می‌شود که در سطح پایین آن مسئله تخصیص جریان ترافیک و در سطح بالا مسئله گزینه بهبود شبکه (با تابع هدف زمان سفر) حل می‌شود. در این مطالعه برای تکمیل نقص مورد نظر از توابع عملکرد ایمنی متناسب با مسئله استفاده شده است. برای بررسی تاثیر ایمنی، مسئله در شبکه سوفالز حل شده است. پاسخ مسئله سوفالز در مطالعه کلاسیک لبلانک برابر 10110 است. در حالی که با ورود شاخص تصادفات تقاطعات و گره‌ها پاسخ مسئله کاملا متفاوت خواهد بود. 
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Investigating the Effect of Signalized Intersections on the Safe Design of Urban Road Networks

نویسندگان English

Mehrdad Asgari 1
Amin mirza Boroujerdian 2
1 PhD Candidate at Road and Transportation Engineering, Tarbiat Modares Univerty, Tehran, Iran.
2 Associate Professor at Road and Transportation Engineering, Tarbiat Modares University, Tehran, Iran.
چکیده English

The road network represents a fundamental component of a city's infrastructure, catering to the needs of its populace. The design and provision of an efficient urban transportation network wield a direct influence on the quality of services demanded by users and concurrently serve as a linchpin for advancing other infrastructure development. Given this context, a pivotal requirement emerges to formulate inclusive urban networks that systematically incorporate critical medical components within their design. A salient observation lies in the fact that the foundation of city road network design predominantly revolves around enhancing the travel time for transportation network users, while other aspects, notably user safety, have been overlooked. The primary hurdle in road network design revolves around discerning the optimal choice for improving the network taking into account the numerous constraints embedded in the problem. Typically, this challenge is addressed through a dual-level model, where the lower level grapples with the intricacies of traffic flow assignment, and the upper level navigates the complexities of determining the most fitting network enhancement option, guided by the objective function of travel time. To address the identified gap, this study integrated indicators and models for accident prediction and to investigate the safety impact, the problem was solved in the Sioux Falls network. The answer to the Sioux Falls problem in LeBlanc's classic study is 10110. However, with the inclusion of the accident index of intersections and nodes, the answer to the problem was completely different.

کلیدواژه‌ها English

Road Engineering Transportation Network
Traffic Safety
Urban Infrastructure Design Safety Performance Functions
[1] World Health Organization. (2023, December 13). Road traffic injuries. https://www.who .int/news-room/fact-sheets/detail/road-traffic-injuries
[2] Farahani, R. Z., Miandoabchi, E., Szeto, W. Y., & Rashidi, H. (2013). A review of urban transportation network design problems. European journal of operational research, 229(2), 281-302. https://doi.org/10.1016/j.ejor.2013.01.001
[3] Caggiani, L., Camporeale, R., Binetti, M., & Ottomanelli, M. (2017). A road network design model considering horizontal and vertical equity: Evidences from an empirical study. Case studies on transport policy, 5(2), 392-399. https://doi.org/10.1016/j.cstp.2017. 02.006
[4] Caggiani, L., Camporeale, R., & Ottomanelli, M. (2017). Facing equity in transportation Network Design Problem: A flexible constraints based model. Transport Policy, 55, 9-17. https://doi.org/10.1016/j.tranpol.2017.01.003
[5] Najmi, A., Waller, T., & Rashidi, T. H. (2023). Equity in network design and pricing: A discretely-constrained MPEC problem. Transportation Research Part A: Policy and Practice, 176, 103800. https://doi.org/10.1016/j.tra.2023.103800
[6] Dehnavi, H. K., Rezvan, M. T., Shirmohammadli, A., & Vallée, D. (2013). A solution for urban road selection and construction problem using simulation and goal programming—case study of the city of Isfahan. Transport Policy, 29, 46-53. https://doi.org/10.101 6/j.tranpol.2013.04.003
[7] Jasiūnienė, V., Ratkevičiūtė, K., & Peltola, H. (2020). Road Network Safety Ranking Using Accident Prediction Models. In A. Varhelyi, V. Žuraulis, & O. Prentkovskis (Eds.), Vision Zero for Sustainable Road Safety in Baltic Sea Region (pp. 166–176). Springer International Publishing. https://doi.org/10.1007/978-3-030-22375-5_19
[8] Fancello, G., Carta, M., & Serra, P. (2020). Data Envelopment Analysis for the assessment of road safety in urban road networks: A comparative study using CCR and BCC models. Case studies on transport policy, 8(3), 736-744. https://doi.org/10.1016/j.cstp.2020. 07.007
[9] Gomes, S. V., Cardoso, J. L., & Azevedo, C. L. (2018). Portuguese mainland road network safety performance indicator. Case studies on transport policy, 6(3), 416-422. https: //doi.org/10.1016/j.cstp.2017.10.006
[10] Ewing, R., & Dumbaugh, E. (2009). The built environment and traffic safety: a review of empirical evidence. Journal of Planning Literature, 23(4), 347-367. https://doi.or g/10.1177/0885412209335553
[11] Moeinaddini, M., Asadi-Shekari, Z., & Shah, M. Z. (2014). The relationship between urban street networks and the number of transport fatalities at the city level. Safety science, 62, 114-120. https://doi.org/10.1016/j.ssci.2013.08.015
[12] Marshall, W. E., & Garrick, N. W. (2011). Does street network design affect traffic safety? Accident Analysis & Prevention, 43(3), 769-781. https://doi.org/10.1016/j.aap.2010 .10.024
[13] Rifaat, S. M., Tay, R., & De Barros, A. (2011). Effect of street pattern on the severity of crashes involving vulnerable road users. Accident Analysis & Prevention, 43(1), 276-283. https://doi.org/10.1016/j.aap.2010.08.024
[14] Mukoko, K. K., & Pulugurtha, S. S. (2020). Examining the influence of network, land use, and demographic characteristics to estimate the number of bicycle-vehicle crashes on urban roads. International Association of Traffic and Safety Sciences, 44(1), 8-16. https://doi.org/10.1016/j.iatssr.2019.04.001
[15] Tsigdinos, S., & Vlastos, T. (2021). Exploring ways to determine an alternative strategic road network in a metropolitan city: A multi-criteria analysis approach. International Association of Traffic and Safety Sciences research, 45(1), 102-115. https://doi.org/ 10.1016/j.iatssr.2020.06.002
[16] Wang, D. Z., Liu, H., & Szeto, W. Y. (2015). A novel discrete network design problem formulation and its global optimization solution algorithm. Transportation Research Part E: Logistics and Transportation Review, 79, 213-230. https://doi.org/10.1016/j .tre.2015.04.005
[17] Poorzahedy, H., & Abulghasemi, F. (2005). Application of ant system to network design problem. Transportation, 32(3), 251-273. https://doi.org/10.1007/s11116-004-8246-7
[18] Farvaresh, H., & Sepehri, M. M. (2011). A single-level mixed integer linear formulation for a bi-level discrete network design problem. Transportation Research Part E: Logistics and Transportation Review, 47(5), 623-640. https://doi.org/10.1016/j.tre.2011.02.001
[19] Drezner, Z., & Wesolowsky, G. O. (2003). Network design: selection and design of links and facility location. Transportation Research Part A: Policy and Practice, 37(3), 241-256. https://doi.org/10.1016/S0965-8564(02)00014-9
[20] Gao, Z., Wu, J., & Sun, H. (2005). Solution algorithm for the bi-level discrete network design problem. Transportation Research Part B: Methodological, 39(6), 479-495. https:// doi.org/10.1016/j.trb.2004.06.004
[21] Solanki, R. S., Gorti, J. K., & Southworth, F. (1998). Using decomposition in large-scale highway network design with a quasi-optimization heuristic. Transportation Research Part B: Methodological, 32(2), 127-140. https://doi.org/10.1016/S0191-2615(97)00020-9
[22] Poorzahedy, H., & Rouhani, O. M. (2007). Hybrid meta-heuristic algorithms for solving network design problem. European journal of operational research, 182(2), 578-596. https://doi.org/10.1016/j.ejor.2006.07.038
[23] Abdulaal, M., & LeBlanc, L. J. (1979). Continuous equilibrium network design models. Transportation Research Part B: Methodological, 13(1), 19-32. https://doi.org/10.1 016/0191-2615(79)90004-3
[24] Wang, D. Z., & Lo, H. K. (2010). Global optimum of the linearized network design problem with equilibrium flows. Transportation Research Part B: Methodological, 44(4), 482-492. https://doi.org/10.1016/j.trb.2009.10.003
[25] Friesz, T. L., Cho, H-J., Mehta, N. J., Tobin, R. L., & Anandalingam, G. (1992). A simulated annealing approach to the network design problem with variational inequality constraints. Transportation science, 26(1), 18-26. https://doi.org/10.1287/trsc.26.1.18
[26] Allsop, R. E. (1974, August 26-28). Some possibilities for using traffic control to influence trip distribution and route choice. Proceedings of the 6th International Symposium on Transportation and Traffic Theory, University of New South Wales, Sydney, Australia. https://trid.trb.org/View/40326
[27] Cantarella, G. E., & Vitetta, A. (2006). The multi-criteria road network design problem in an urban area. Transportation, 33(6), 567-588. https://doi.org/10.1007/s11116-006-7908-z
[28] Luathep, P., Sumalee, A., Lam, W. H., Li, Z-C., & Lo, H. K. (2011). Global optimization method for mixed transportation network design problem: a mixed-integer linear programming approach. Transportation Research Part B: Methodological, 45(5), 808-827. https://doi.org/10.1016/j.trb.2011.02.002
[29] Lyon, C., Persaud, B. N., & Gross, F. B. (2016). The Calibrator-An SPF Calibration and Assessment Tool User Guide. Federal Highway Administration. https://rosap.ntl.bts. gov/view/dot/50484
[30] Kirkpatrick, S., Gelatt Jr, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680. https://doi.org/10.1126/science.220.4598.671
دوره 21، شماره 1 - شماره پیاپی 66
فنی و مهندسی
بهار 1403
صفحه 569-588

  • تاریخ دریافت 12 دی 1402
  • تاریخ بازنگری 21 بهمن 1402
  • تاریخ پذیرش 26 فروردین 1403