This paper proposes a bi-level decision making process for an urban freight routing problem considering the interaction between background traffic and freight trucks. The urban freight routing problem is formulated as a Stackelberg game, where the followers’ game is a static traffic equilibrium among private vehicles and the leader’s game is a minimum-cost freight routing problem subject to the lower-level equilibrium and additional constraints. The interactions are captured through the link cost function employed in the user equilibrium accommodating the truck use. User equilibrium is solved by the fixed-point algorithm, where candidate routes are generated by the sweep method and the k-shortest paths method. Compared with two traditional methods, this methodology shows a reduced cost of freight trucks in test networks. The reduction depend on factors including the demand pattern of private vehicles and the network. However, this methodology can be computationally more expensive, which can be improved by parallel computing techniques as demonstrated in this paper.
Urban Freight Routing Based on Static User Equilibrium
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 1460-1471
2018-01-18
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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