Urban pickup and delivery problem considering time-dependent fuzzy velocity

Authors:
Zheng Sifa;Cao Jiandong;Lian Xiaomin;Li Keqiang
Affiliations:
State Key Laboratory of Automobile Safety and Energy, Tsinghua University, Beijing 100084, China;China Academy of Transportation Sciences, Beijing 100029, China;State Key Laboratory of Automobile Safety and Energy, Tsinghua University, Beijing 100084, China;State Key Laboratory of Automobile Safety and Energy, Tsinghua University, Beijing 100084, China
Venue:
Computers and Industrial Engineering
Year:
2011

Citing 4
Cited 0

Future paths for integer programming and links to artificial intelligence

Computers and Operations Research - Special issue: Applications of integer programming
The traveling salesman problem with backhauls

Computers and Operations Research
The fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertain

Fuzzy Sets and Systems
A Generalized Insertion Heuristic for the Traveling Salesman Problem with Time Windows

Operations Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

The velocity in vehicle routing problem is usually fuzzy and uncertain, which would influence the flexibility and feasibility of the dispatch result of vehicles. In this paper a realistic model is proposed to solve urban pickup and delivery problem with consideration of time-dependent fuzzy velocity of vehicles. Firstly, based on collected traffic data of typical roads in an urban city, the membership function of fuzzy velocity was created and simulated. Then the fuzzy arriving time to customers was calculated with Alfa-Cut Set Algorithm. Next, the urban pickup and delivery problem under time-dependent fuzzy velocity was described, and a modified Tabu Search was used to solve the problem. Finally, the paper introduces a real pickup and delivery problem with 28 customers in a logistics company to illustrate the proposed method. The results show the dispatch result considering fuzzy velocity is more feasible and robust than that with deterministic velocity, and the improved Tabu Search could be used to solve the urban pickup and delivery problem with shorter computation time.