Spatial-temporal pricing for ride-sourcing platform with reinforcement learning
Ever since the emergence of ride-sourcing services, the spatial–temporal pricing problem
has been a hot research topic in both the transportation and management fields. The …
has been a hot research topic in both the transportation and management fields. The …
[HTML][HTML] Dynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network
A Genser, A Kouvelas - Transportation Research Part C: Emerging …, 2022 - Elsevier
Traffic management by applying congestion pricing is a measure for mitigating congestion in
protected city corridors. As a promising tool, pricing improves the level of service in a …
protected city corridors. As a promising tool, pricing improves the level of service in a …
Simulation-based optimization of toll pricing in large-scale urban networks using the network fundamental diagram: A cross-comparison of methods
Simulation-based optimization (SO or SBO) has become increasingly important to address
challenging transportation network design problems. In this paper, we propose to solve two …
challenging transportation network design problems. In this paper, we propose to solve two …
Time-of-day vehicle mileage fees for congestion mitigation and revenue generation: A simulation-based optimization method and its real-world application
Congestion pricing of a large-scale network is characterized by expensive-to-evaluate
objective functions without closed forms. This paper further enhances a computationally …
objective functions without closed forms. This paper further enhances a computationally …
Surrogate‐based toll optimization in a large‐scale heterogeneously congested network
Toll optimization in a large‐scale dynamic traffic network is typically characterized by an
expensive‐to‐evaluate objective function. In this paper, we propose two toll‐level problems …
expensive‐to‐evaluate objective function. In this paper, we propose two toll‐level problems …
Optimal time-varying pricing for toll roads under multiple objectives: a simulation-based optimization approach
The determination of the pricing for tolled facilities always involves consideration of multiple
objectives, eg, efficiency, safety, pollution, reliability, and economy. Simulations are widely …
objectives, eg, efficiency, safety, pollution, reliability, and economy. Simulations are widely …
Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach
Travel demand management (TDM) is an important measure that will aid in the realization of
efficient and sustainable transportation systems. However, in cities where the most serious …
efficient and sustainable transportation systems. However, in cities where the most serious …
Incentives for ridesharing: A case study of welfare and traffic congestion
Traffic congestion is largely due to the high proportion of solo drivers during peak hours.
Ridesharing, in the sense of carpooling, has emerged as a travel mode with the potential to …
Ridesharing, in the sense of carpooling, has emerged as a travel mode with the potential to …
A parking pricing scheme considering parking dynamics
F Zong, M Zeng, P Yu - Transportation, 2024 - Springer
Powerful parking management approaches are vital in metropolitan areas where parking
resource is limited and congestion is severe. To date, parking pricing is considered as an …
resource is limited and congestion is severe. To date, parking pricing is considered as an …
[HTML][HTML] Optimization tools applied to physical asset maintenance management: state of the art
Y Borroto-Pentón, MA Caraza-Morales… - Dyna, 2021 - scielo.org.co
This article presents the state of the art of the application of optimization tools such as
Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in …
Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in …