Solving stochastic frequency-based assignment to transit networks with pre-trip/en-route path choice
Massimo Gangi,
Giulio E. Cantarella () and
Antonino Vitetta
Additional contact information
Massimo Gangi: Università degli Studi di Messina
Giulio E. Cantarella: Università degli Studi di Salerno
Antonino Vitetta: Università Mediterranea degli Studi di Reggio Calabria
EURO Journal on Transportation and Logistics, 2019, vol. 8, issue 5, No 8, 681 pages
Abstract:
Abstract This paper deals with the stochastic frequency-based assignment for transit systems, considering pre-trip/en-route path choice behaviour; this problem is relevant for (uncongested or congested) urban transit networks, where travelers may not completely know the status of service, say bus arrivals at stops, when they leave the origin; under mild conditions, travel strategy can be modelled by hyperpaths. Hyperpath choice behaviour can be described through random utility models thus properly modelling several unavoidable sources of uncertainty, which cannot be considered by the commonly used deterministic choice model. Effective methods suitable for large scale applications are proposed for solving stochastic assignment based on probit or gammit choice models, which properly model the effects of hyperpath overlapping, even though their application requires Montecarlo techniques; Montecarlo techniques based on Sobol numbers are compared with those based on the commonly used Mersenne Twister ones; several MSA-based algorithms for equilibrium assignment are discussed and compared with the commonly used basic implementation. Applications to a toy and a large scale network is also discussed.
Keywords: Transit networks; Hyperpaths; Stochastic assignment (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)
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DOI: 10.1007/s13676-019-00142-9
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