Planning of truck platoons: A literature review and directions for future research
A truck platoon is a set of virtually linked trucks that drive closely behind one another using
automated driving technology. Benefits of truck platooning include cost savings, reduced …
automated driving technology. Benefits of truck platooning include cost savings, reduced …
Trends in transportation and logistics
MG Speranza - European journal of operational research, 2018 - Elsevier
Problems in transportation and logistics had to be tackled long before computers and
Operational Research (OR) became available to support decision making. After the first …
Operational Research (OR) became available to support decision making. After the first …
Bridging the user equilibrium and the system optimum in static traffic assignment: a review
V Morandi - 4OR, 2024 - Springer
Solving the road congestion problem is one of the most pressing issues in modern cities
since it causes time wasting, pollution, higher industrial costs and huge road maintenance …
since it causes time wasting, pollution, higher industrial costs and huge road maintenance …
Cooperative passenger flow control in an oversaturated metro network with operational risk thresholds
J Shi, L Yang, J Yang, F Zhou, Z Gao - Transportation Research Part C …, 2019 - Elsevier
The oversaturated situation is now very common in the metro system of some megacities
due to large commuting demands in peak hours, which leads to passenger accumulation on …
due to large commuting demands in peak hours, which leads to passenger accumulation on …
A reinforcement learning scheme for the equilibrium of the in-vehicle route choice problem based on congestion game
B Zhou, Q Song, Z Zhao, T Liu - Applied Mathematics and Computation, 2020 - Elsevier
In this paper, the Bush–Mosteller (BM) reinforcement learning (RL) scheme is introduced to
model the route choice behaviors of the travelers in traffic networks, who aim to seek the …
model the route choice behaviors of the travelers in traffic networks, who aim to seek the …
Integrated real-time signal control and routing optimization: A two-stage rolling horizon framework with decentralized solution
S Lin, J Hu, W Ma, C Zheng, R Li - Transportation Research Part C …, 2024 - Elsevier
This paper presents an integrated framework for optimizing signal control and vehicle
routing. An important feature of the proposed framework is the ability to simultaneously …
routing. An important feature of the proposed framework is the ability to simultaneously …
Platooning of connected automated vehicles on freeways: a bird's eye view
A platoon of connected automated vehicles (CAVs) is defined as a group of CAVs that
exchange information, so that they can drive in a coordinated way, allowing very small …
exchange information, so that they can drive in a coordinated way, allowing very small …
End‐to‐end deep learning methodology for real‐time traffic network management
This article presents a novel real‐time traffic network management system using an end‐to‐
end deep learning (E2EDL) methodology. A computational learning model is trained, which …
end deep learning (E2EDL) methodology. A computational learning model is trained, which …
Pareto optimal path generation algorithm in stochastic transportation networks
Routing problems play a crucial part in urban transportation network operation and
management. This study addresses the problem of finding a set of non-dominated shortest …
management. This study addresses the problem of finding a set of non-dominated shortest …
Review of decision-making and planning approaches in automated driving
F Garrido, P Resende - IEEE Access, 2022 - ieeexplore.ieee.org
The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …
increased significantly over the last few years. Decision-making for automated driving can …