Time-dependent routing problems: A review
Time-dependent routing amounts to design “best” routes in a graph in which arc traversal
times may vary over the planning horizon. In the last decade, a number of technological …
times may vary over the planning horizon. In the last decade, a number of technological …
A survey on dynamic and stochastic vehicle routing problems
Research on dynamic and stochastic vehicle routing problems received increasing interest
in the last decade. It considers a novel problem class, aiming at an appropriate handling of …
in the last decade. It considers a novel problem class, aiming at an appropriate handling of …
Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0
When studying the vehicle routing problem, especially for on-time arrivals, the determination
of travel time plays a decisive role in the optimization of logistics companies. Traffic Internet …
of travel time plays a decisive role in the optimization of logistics companies. Traffic Internet …
Solving the dynamic vehicle routing problem under traffic congestion
This paper proposes a dynamic vehicle routing problem (DVRP) model with nonstationary
stochastic travel times under traffic congestion. Depending on the traffic conditions, the travel …
stochastic travel times under traffic congestion. Depending on the traffic conditions, the travel …
The time-dependent vehicle routing problem with soft time windows and stochastic travel times
This paper studies a vehicle routing problem with time-dependent and stochastic travel
times. In our problem setting, customers have soft time windows. A mathematical model is …
times. In our problem setting, customers have soft time windows. A mathematical model is …
EMVLight: A multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …
The flying sidekick traveling salesman problem with stochastic travel time: A reinforcement learning approach
As a novel urban delivery approach, the coordinated operation of a truck–drone pair has
gained increasing popularity, where the truck takes a traveling salesman route and the …
gained increasing popularity, where the truck takes a traveling salesman route and the …
Information impacts on traveler behavior and network performance: State of knowledge and future directions
R Balakrishna, M Ben-Akiva, J Bottom… - Advances in dynamic …, 2013 - Springer
Abstract Advanced Traveler Information Systems (ATIS) have the potential to maximize the
operating efficiency of existing transportation infrastructure. Such systems rely on the …
operating efficiency of existing transportation infrastructure. Such systems rely on the …
A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network
Most previous work in addressing the adaptive routing problem in stochastic and time-
dependent (STD) network has been focusing on developing parametric models to reflect the …
dependent (STD) network has been focusing on developing parametric models to reflect the …
Schedule-based transit assignment with online bus arrival information
P Kumar, A Khani - Transportation Research Part C: Emerging …, 2023 - Elsevier
Most public transportation services deviate from their published schedule. To cope with the
delay caused by the unreliable service, passengers use online information about the bus …
delay caused by the unreliable service, passengers use online information about the bus …