The vehicle routing problem: State of the art classification and review
K Braekers, K Ramaekers… - Computers & industrial …, 2016 - Elsevier
Over the past decades, the Vehicle Routing Problem (VRP) and its variants have grown ever
more popular in the academic literature. Yet, the problem characteristics and assumptions …
more popular in the academic literature. Yet, the problem characteristics and assumptions …
Finding most reliable paths on networks with correlated and shifted log–normal travel times
KK Srinivasan, AA Prakash, R Seshadri - Transportation Research Part B …, 2014 - Elsevier
There is a growing interest in modeling travel time uncertainty in transportation networks in
addition to optimizing the reliability of travel times at the path and network level. This paper …
addition to optimizing the reliability of travel times at the path and network level. This paper …
Effects of risk-aversion on competing shipping lines' pricing strategies with uncertain demands
Container shipping is facing severe overcapacity, fierce price-based competition and high
demand uncertainty. It is natural that some shipping lines may adopt a risk-aversion attitude …
demand uncertainty. It is natural that some shipping lines may adopt a risk-aversion attitude …
Data-driven optimization for dynamic shortest path problem considering traffic safety
Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although
there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through …
there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through …
An energy-efficient reliable path finding algorithm for stochastic road networks with electric vehicles
L Shen, H Shao, T Wu, WHK Lam, EC Zhu - Transportation Research Part …, 2019 - Elsevier
In this paper, we develop a novel reliable path finding algorithm for a stochastic road
network with uncertainty in travel times while both electric vehicle energy and efficiency are …
network with uncertainty in travel times while both electric vehicle energy and efficiency are …
Application of Lagrangian relaxation approach to α-reliable path finding in stochastic networks with correlated link travel times
This study investigates the important problem of determining a reliable path in a stochastic
network with correlated link travel times. First, the distribution of path travel time is quantified …
network with correlated link travel times. First, the distribution of path travel time is quantified …
Most reliable path-finding algorithm for maximizing on-time arrival probability
Finding the most reliable path that maximizes the probability of on-time arrival is commonly
encountered by travelers facing travel time uncertainties. However, few exact solution …
encountered by travelers facing travel time uncertainties. However, few exact solution …
Capacity reliability under uncertainty in transportation networks: An optimization framework and stability assessment methodology
A Hosseini, MS Pishvaee - Fuzzy Optimization and Decision Making, 2022 - Springer
Destruction of the roads and disruption in transportation networks are the aftermath of
natural disasters, particularly if they are of great magnitude. As a version of the network …
natural disasters, particularly if they are of great magnitude. As a version of the network …
Dynamic routing with real-time traffic information
G Yu, Y Yang - Operational Research, 2019 - Springer
We consider the vehicle routing problem (VRP) with real-time traffic information, where
stochastic intermediate times (travel times and service times) are assumed to be realized …
stochastic intermediate times (travel times and service times) are assumed to be realized …
Adaptive vehicle navigation with en route stochastic traffic information
This paper develops an adaptive approach for vehicle navigation in a stochastic network
with real-time en route traffic information. This stochastic and adaptive approach is …
with real-time en route traffic information. This stochastic and adaptive approach is …