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A platform for research: civil engineering, architecture and urbanism
Stochastic Multi-Vehicle Assignment To Urban Transportation Networks
This paper focuses on multi-vehicle stochastic assignment to an urban transportation network, where paths likely overlap; route choice behavior is modeled through a Probit model, whose application requires Montecarlo techniques. Main aim is to compare two different pseudo-random generators, Mersenne-Twister and Sobol, and four step size strategies for solution algorithms based on the Method of Successive Averages.
Stochastic Multi-Vehicle Assignment To Urban Transportation Networks
This paper focuses on multi-vehicle stochastic assignment to an urban transportation network, where paths likely overlap; route choice behavior is modeled through a Probit model, whose application requires Montecarlo techniques. Main aim is to compare two different pseudo-random generators, Mersenne-Twister and Sobol, and four step size strategies for solution algorithms based on the Method of Successive Averages.
Stochastic Multi-Vehicle Assignment To Urban Transportation Networks
Cantarella, Giulio E. (author) / Di Febbraro, Angela (author) / Gangi, Massimo Di (author) / Giannattasio, Orlando (author)
2019-06-01
2967761 byte
Conference paper
Electronic Resource
English
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