Optimal information perturbation for traffic congestion mitigation: Gaussian process regression and optimization
S Spana, L Du - Transportation Research Part C: Emerging …, 2022 - Elsevier
Abstract Information perturbation is an information provision strategy which strategically
alters the traffic information sent to drivers, aiming to mitigate network congestion caused by …
alters the traffic information sent to drivers, aiming to mitigate network congestion caused by …
Coordinated online in-vehicle routing balancing user optimality and system optimality through information perturbation
The inconsistence between system optimality and user optimality represents one of the key
difficulties on network traffic congestion control. The advanced connected vehicle systems …
difficulties on network traffic congestion control. The advanced connected vehicle systems …
Strategic information perturbation for an online in-vehicle coordinated routing mechanism for connected vehicles under mixed-strategy congestion game
The increased market penetration of route guidance tools–relaying real-time traffic
information to drivers–can have damaging effects on transportation networks, including …
information to drivers–can have damaging effects on transportation networks, including …
Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization
Y Ning, L Du - Transportation research part B: methodological, 2023 - Elsevier
With the rapid development of wireless communication, mobile computing, and GPS
technologies, drivers' route decisions nowadays rely more on navigation services, such as …
technologies, drivers' route decisions nowadays rely more on navigation services, such as …
Predictive intelligent transportation: Alleviating traffic congestion in the internet of vehicles
Due to the limitations of data transfer technologies, existing studies on urban traffic control
mainly focused on isolated dimension control such as traffic signal control or vehicle route …
mainly focused on isolated dimension control such as traffic signal control or vehicle route …
Stochastic traffic flow modeling and optimal congestion pricing
L Yang - 2012 - search.proquest.com
Congestion in surface transportation networks causes serious economical and
environmental problems in urban areas of the United States and around the world. Due to …
environmental problems in urban areas of the United States and around the world. Due to …
Simulation study of the impact of local real-time traffic information provision strategy in connected vehicle systems
S Chen, L Du - International journal of transportation science and …, 2017 - Elsevier
Current vehicle navigation systems usually rely on global real-time traffic information. They
suggest the best paths to travelers through an independent and selfish-routing mechanism …
suggest the best paths to travelers through an independent and selfish-routing mechanism …
Optimal and robust strategies for freeway traffic management under demand and supply uncertainties: an overview and general theory
This paper investigates optimal decision-making for traffic management under demand and
supply uncertainties by stochastic dynamic programming. Traffic flow dynamics under …
supply uncertainties by stochastic dynamic programming. Traffic flow dynamics under …
Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions
In this study, to incorporate realistic discrete stochastic capacity distribution over a large
number of sampling days or scenarios (say 30–100 days), we propose a multi-scenario …
number of sampling days or scenarios (say 30–100 days), we propose a multi-scenario …
Bayesian optimization for congestion pricing problems: A general framework and its instability
In this study, we proposed a generic Bayesian optimization (BO) framework to solve
congestion pricing problems. In the BO framework, the Gaussian process (GP) serves as a …
congestion pricing problems. In the BO framework, the Gaussian process (GP) serves as a …