نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناس شرکت راه آهن شهری تهران و حومه (مترو)
2 کارشناس شرکت راه آهن جمهوری اسلامی ایران
3 استاد یار دانشگاه علم و صنعت ایران دانشکده مهندسی صنایع
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Determining arrival dwell time in subway system is one of the important issues in train timetable optimization. A good timetable causes trains and resources to operate more efficiently, and then the passenger waiting time will be reduced. This paper proposes a timetable optimization model to shorten the passenger travel time. In this model, train movement between two stations has been divided into three phases: accelerating phase, coasting phase, and breaking phase which use random numbers for running time in these three phases because trains always have stochastic delays in busy stations. First, we formulate a stochastic integer programming model with headway and dwell time. Then, Scenario-Based uncertain programming approach is used for simplification. Finally, numerical examples are conducted for Tehran’s subway system. Genetic algorithm is used to find optimal solution of the model. The results show that the model can reduce the passenger waiting time by in comparison with current timetable.
کلیدواژهها [English]