185 citations · 394 across the 7 of their papers we have counts for
8 papers
Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
Qionghua Liao, Guilong Li, Jiajie Yu +2
With the proliferation of electric vehicles (EVs), the transportation network and power grid become increasingly interdependent and coupled via charging stations. The concomitant g…
A macro-micro approach to modeling parking
Ziyuan Gu, Farshid Safarighouzhdib, Meead Saberi +1
In this paper, we propose a new macro-micro approach to modeling parking. We first develop a microscopic parking simulation model considering both on- and off-street parking with l…
Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods
Ziyuan Gu, Meead Saberi
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 to…
Joint routing and pricing control in congested mixed autonomy networks
Mohammadhadi Mansourianfar, Ziyuan Gu, S. Travis Waller +1
Routing controllability of connected and autonomous vehicles (CAVs) has been shown to reduce the adverse effects of selfish routing on the network efficiency. However, the assumpti…
A simple contagion process describes spreading of traffic jams in urban networks
Meead Saberi, Mudabber Ashfaq, Homayoun Hamedmoghadam +8
The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analy…
Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram
Ziyuan Gu, Sajjad Shafiei, Zhiyuan Liu +1
Given the efficiency and equity concerns of a cordon toll, this paper proposes a few alternative distance-dependent area-based pricing models for a large-scale dynamic traffic netw…
Surrogate-based toll optimization in a large-scale heterogeneously congested network
Ziyuan Gu, S. Travis Waller, Meead Saberi
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 probl…
Network traffic instability in a two-ring system with automated driving and cooperative merging
Ziyuan Gu, Meead Saberi
In this paper, we characterize the effects of turning and merging maneuvers of connected and/or automated vehicles (CAVs or AVs) on network traffic instability using the macroscopi…