Journal ArticleDOI
City Vehicle Routing Problem (City VRP): A Review
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TLDR
The state of the art of City VRP is identified, the core challenging issues are highlighted, and some potential research area in this field that have remained underexplored are suggested.Abstract:
Lately, the Vehicle Routing Problem (VRP) in the city, known as City VRP, has gained popularity with its importance in city logistics. Similar to city logistics, City VRP mainly differs from conventional VRP in terms of the stakeholders involved, namely the shipper, carrier, resident, and administrator. Accordingly, this paper surveys the City VRP literature categorized by stakeholders and summarizes the constraints, models, and solution methods for VRP in urban cities. City VRPs are also analyzed based on the problem of interest considered by the stakeholders and the corresponding models that have been proposed in response. Through this review, we identify the state of the art of City VRP, highlight the core challenging issues, and suggest some potential research area in this field that have remained underexplored.read more
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City logistics : network modelling and intelligent transport systems
TL;DR: In this article, the authors model city logistics with ITS and present a model for vehicle routing and scheduling with ITS, where demand and supply models and impact models are modelled and the location of logistics terminals are modeled.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Editor-In-Chief
Charles Herget,Paul Kostek,William T. Scherer,Emily Sopensky,Stefano Stramigioli,Fei-Yue Wang,Daniel J. Dailey,A Lberto Broggi,Mark Brackstone,Hsinchun Chen,Swaroop Darbha,Bart De Schutter,Hussein Dia,Tom Dingus,Alan L. Erera,Azim Eskandarian,Toshio Fukuda,Roy Goudy,Brian Johnson,Isam Kaysi,Ryuji Kohno,Masao Kuwahara,Der-Horng Lee,Yili Liu,Hani S. Mahmassani,Ichiro Masaki,Umit Ozguner,Markos Papageorgiou,Nikolaos Papanikolopoulos,Nadine Sarter,William T. Scherer,Dipti Srinivasan,Christoph Stiller,H. Takahashi,Shuming Tang,Philip Tarnoff,Sadayuki Tsugawa,Ljubo Vlacic,Chelsea C. White,Sherman Wong,Alex Zelinsky,Y. Zhao,Nan-Ning Zheng,W. C Leon,Joseph V. L Illie,Arthur W. W Inston,Moshe Kam +46 more
Journal ArticleDOI
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning
James J.Q. Yu,Wen Yu,Jiatao Gu +2 more
TL;DR: This paper transforms the online routing problem to a vehicle tour generation problem, and proposes a structural graph embedded pointer network to develop these tours iteratively and shows that the proposed strategy can significantly outperform conventional strategies with limited computation time in both static and dynamic logistic systems.
Journal ArticleDOI
Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid
TL;DR: In this paper, the coordinated dispatch strategies of EVs to smooth renewable energy and load fluctuations of the microgrid while ensuring the quality of logistics services is studied. But the authors consider a grid-connected microgrid model which consists of a logistics distribution system, where electric vehicles (EVs) depart from the depot, deliver the goods to multiple demand loads, and then, return to the depot.
References
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Journal ArticleDOI
Scheduling of Vehicles from a Central Depot to a Number of Delivery Points
G. Clarke,J. W. Wright +1 more
TL;DR: An iterative procedure is developed that enables the rapid selection of an optimum or near-optimum route and has been programmed for a digital computer but is also suitable for hand computation.
Journal ArticleDOI
The Truck Dispatching Problem
George B. Dantzig,J. H. Ramser +1 more
TL;DR: A procedure based on a linear programming formulation is given for obtaining a near optimal solution to the optimum routing of a fleet of gasoline delivery trucks between a bulk terminal and a large number of service stations supplied by the terminal.
MonographDOI
The vehicle routing problem
Paolo Toth,Daniele Vigo +1 more
TL;DR: In this paper, the authors present a comprehensive overview of the most important techniques proposed for the solution of hard combinatorial problems in the area of vehicle routing problems, focusing on a specific family of problems.
Journal ArticleDOI
A review of dynamic vehicle routing problems
TL;DR: This survey classifies routing problems from the perspective of information quality and evolution and presents a comprehensive review of applications and solution methods for dynamic vehicle routing problems.
Posted Content
Complexity Of Vehicle Routing And Scheduling Problems
TL;DR: The complexity of a class of vehicle routing and scheduling problems is investigated and known NP-hardness results are reviewed and compiled to compile the worst-case performance of approximation algorithms.