Robust Optimal Lane Allocation for Isolated Intersections

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• 作者：Chunhui Yu ; Wanjing Ma ; Hong K. Lo and Xiaoguang Yang
• 刊名：Computer-Aided Civil and Infrastructure Engineering
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：32
• 期：1
• 页码：72-86
• 全文大小：504K
• ISSN：1467-8667

文摘

Lane allocation including approach and exit lane numbers and lane markings of approach lanes plays an important role in improving the capacity of an intersection. Conventional approaches for optimizing lane allocation often ignore fluctuations in traffic demand (TD). This article presents a stochastic model for robust optimal lane allocation of an isolated intersection under stochastic traffic conditions. This model is built in three steps. In the first step, an enhanced lane-based model in the form of a binary mixed-integer nonlinear program is proposed to optimize lane allocation and traffic signals for both vehicles and pedestrians in a unified framework under deterministic traffic conditions. In the second step, a two-level stochastic model is developed to obtain a robust lane allocation that is less sensitive to traffic flow fluctuations considering the flexibility of traffic signals. In the third step, the two-level model is further transformed into a TD-based stochastic model in a two-phase form to reduce the solution dimension for efficient computation. A TD-based genetic algorithm procedure is presented for solvability. Numerical studies are conducted to validate the model formulations and solution algorithms.