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A concise guide to existing and emerging vehicle routing problem variants.
TL;DR: This article provides a concise overview of existing and emerging problem variants of vehicle routing problems and organizes the main problem attributes within this structured framework.
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Abstract: Vehicle routing problems have been the focus of extensive research over the past sixty years, driven by their economic importance and their theoretical interest. The diversity of applications has motivated the study of a myriad of problem variants with different attributes. In this article, we provide a concise overview of existing and emerging problem variants. Models are typically refined along three lines: considering more relevant objectives and performance metrics, integrating vehicle routing evaluations with other tactical decisions, and capturing fine-grained yet essential aspects of modern supply chains. We organize the main problem attributes within this structured framework. We discuss recent research directions and pinpoint current shortcomings, recent successes, and emerging challenges.
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Citations
A review of vehicle routing with simultaneous pickup and delivery
TL;DR: This paper aims to comprehensively review the existing work on the VRPSPD, surveys mathematical formulations, algorithms, variants, case studies, and industrial applications, and provides an overview of trends in the literature.
152
An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems
Mahdi Abbasi,Milad Rafiee,Mohammad Reza Khosravi,Mohammad Reza Khosravi,Alireza Jolfaei,Varun G. Menon,Javad Mokhtari Koushyar +6 more
TL;DR: A novel parallelization method of genetic algorithm (GA) solution of the Traveling Salesman Problem (TSP) is presented and the results confirm the efficiency of the proposed method for parallelizing GAs on many-core as well as on multi-core systems.
Vehicle routing and location-routing with intermediate stops: A review
Maximilian Schiffer,Michael Schneider,Grit Walther,Gilbert Laporte +3 more
- 01 Jun 2017
TL;DR: This paper reviews the literature on vehicle routing problems and location routing problems with intermediate stops and classify publications into different categories from both an application-base and a user-base basis.
90
A hyper heuristic for the green vehicle routing problem with simultaneous pickup and delivery
TL;DR: A hyper-heuristic algorithm based on iterative local search and variable neighborhood descent heuristics to effectively solve the green vehicle routing problem with simultaneous pickup and delivery is developed.
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Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0
TL;DR: A novel method to forecast travel time based on big data collected from the industrial IoT infrastructure that separates the global regression tree model based on the gradient boosting decision tree into several partitions to capture the time-varying features simultaneously.
86
References
"Simplest" Paths: Automated Route Selection for Navigation
Matt Duckham,Lars Kulik +1 more
- 24 Sep 2003
TL;DR: A “simplest” paths algorithm that has quadratic computation time for a planar graph is proposed that could be used to replace shortest paths algorithms in any automated system for generating human navigation instructions, including in-car navigation systems, Internet driving direction servers, and other location-based services.
•Posted Content
Heuristics for vehicle routing problems: Sequence or set optimization?.
TL;DR: This research investigates a structural decomposition for the capacitated vehicle routing problem (CVRP) based on vehicle-to-customer "assignment" and visits "sequencing" decision variables and proposes new ways of combining the optimization of these two decision sets.
A Joint Vehicle Routing and Speed Optimization Problem
TL;DR: The study of optimizing speeds over a route to improve efficiency and fuel consumption heavily depends on the travel speed, which leads to the study of optimized speeds overA route to reduce fuel consumption.
Multigraph modeling and adaptive large neighborhood search for the vehicle routing problem with time windows
TL;DR: An Adaptive Large Neighbourhood Search (ALNS) heuristic is developed in which a special data structure and dynamic programming algorithms are used to efficiently address the multigraph setting.
On-street illegal parking costs in urban areas
Carlos Morillo,José Magín Campos +1 more
TL;DR: In this article, the authors focused on the costs that appear when on-street illegal parking is detected, and evaluated the economic cost due to car parking indiscipline to the whole city is significant; also it is worth to remark that unit cost differs depending on the location of the violation and the affected vehicle.