© 2013 IEEE.Incorporating speed probability distribution to the computation of the route planning in car navigation systems guarantees more accurate and precise responses. In this paper, we propose a novel approach for selecting dynamically the number of samples used for …
In this paper, we study the duration-minimizing time-dependent vehicle routing problem with time windows (DM-TDVRPTW), where time-dependent travel times represent different levels of road congestion throughout the day. The departure time from depot becomes an important decision to reduce the …
© 2000-2011 IEEE.Urban customized bus companies are increasingly motivated by design efforts that entail more efficient route scenarios to incorporate adaptation to temporal and spatial heterogeneity in travel demand. However, such motivations are usually hindered by ubiquitous arrival unpunctuality resulting …
In this paper we study the time-dependent profitable tour problem with resource constraints (TDPTPRC), a generalization of the profitable tour problem (PTP) which includes variable travel times to account for road congestion. In this problem, the set of customers to …
We study the problem of quickly computing point-to-point shortest paths in massive road networks with traffic predictions. Incorporating traffic predictions into routing allows, for example, to avoid commuter traffic congestions. Existing techniques follow a two-phase approach: In a preprocessing step, …
Most time-dependent vehicle routing problems are based on a similar modeling paradigm: travel time information is represented by travel time functions between pairs of points of interest (e.g., depot or customers). Only a few papers investigate how these functions can …
Travel times inside cities often vary quite a lot during a day and significantly impact the duration of commercial delivery routes. Several authors have suggested time-dependent variants of the most commonly encountered vehicle routing problems. In these papers, however, time-dependency …
Freight distribution with electric vehicles (EVs) is a promising alternative to reduce the carbon footprint associated with city logistics. Algorithms for planning routes for EVs should take into account their relatively short driving range and the effects of traffic congestion …
© 2021 The Authors.Determining the shortest travel time on transportation is affected by many logistics parameters such as cost, quality, speed and satisfaction. This study proposes a new hybrid time-dependent Dijkstra’s and minimum vertex degree algorithm on a spherical bipolar …
The time-dependent traveling salesman problem (TDTSP) asks for a shortest Hamiltonian tour in a directed graph where (asymmetric) arc-costs depend on the time the arc is entered. With traffic data abundantly available, methods to optimize routes with respect to time-dependent …