نوع مقاله : مقاله پژوهشی (کاربردی)
نویسندگان
گروه راه و ترابری، دانشکده عمران و محیط زیست، دانشگاه تربیت مدرس، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The road network stands as 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 integrates indicators and models for accident prediction and To investigate the safety impact, the problem is 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 will be completely different.
کلیدواژهها [English]
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