Optimizing Information Values in Smart Mobility

F Afifah - 2023 - stars.library.ucf.edu
Smart mobility, enabled by advanced sensing, communication, vehicle, and emerging
mobility technologies, has transformed transportation systems. Real-time information shared …

Route-choice management with optimal dynamic pricing in urban large-scale networks

A Genser, A Kouvelas - 20th Swiss Transport Research …, 2020 - research-collection.ethz.ch
Traffic management with congestion pricing is a measure for mitigating traffic congestion in a
protected corridor. Hence, the level of service in a city center (ie, the protected corridor) …

Optimal Speed Limit Control for Network Mobility and Safety: A Twin-Delayed Deep Deterministic Policy Gradient Approach

F Afifah, Z Guo - Available at SSRN 4760709 - papers.ssrn.com
Variable speed limit control (VSLC) has emerged as a promising approach for improving
traffic safety and reducing congestion. However, existing research primarily focuses on …

Spatial pricing of ride-sourcing services in a congested transportation network

F Afifah, Z Guo - Transportation Research Part C: Emerging …, 2022 - Elsevier
We investigate the impacts of spatial pricing for ride-sourcing services in a Stackelberg
framework considering traffic congestion. In the lower level, we use combined distribution …

An Introduction to the Connected and Autonomous Transportation Systems Laboratory [Its Research Lab]

Y Lv - IEEE Intelligent Transportation Systems Magazine, 2023 - ieeexplore.ieee.org
With the rapid developments of emerging technologies (eg, intelligent vehicles, shared
mobility, sensing, and communication) in transportation engineering, unprecedented …

[PDF][PDF] A scaled smart city for emerging mobility systems

B Chalaki, LE Beaver, AM Mahbub, H Bang… - ArXiv Prepr …, 2021 - academia.edu
Emerging mobility systems, eg, connected and automated vehicles (CAVs), shared mobility,
mark a paradigm shift in which a myriad of opportunities exist for users to better monitor the …

Special Issue on Methods and Applications for Large-Scale Intelligent Transportation Systems [Guest Editorial]

Z Liu, DZW Wang, Y Jiang… - IEEE Intelligent …, 2024 - ieeexplore.ieee.org
The rapid progress in technology has spurred substantial growth and innovation in the field
of intelligent transportation systems (ITS), particularly with the introduction of connected …

Markov game for CV joint adaptive routing in stochastic traffic networks: A scalable learning approach

S Yang, Y Liu - Transportation Research Part B: Methodological, 2024 - Elsevier
This study proposes a learning-based approach to tackle the challenge of joint adaptive
routing in stochastic traffic networks with Connected Vehicles (CVs). We introduce a Markov …

Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning

X Peng, H Gao, G Han, H Wang, M Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Urban traffic congestion is a critical predicament that plagues modern road networks. To
alleviate this issue and enhance traffic efficiency, traffic signal control and vehicle routing …

Real-time system optimal traffic routing under uncertainties--Can physics models boost reinforcement learning?

Z Ke, Q Zou, J Liu, S Qian - arXiv preprint arXiv:2407.07364, 2024 - arxiv.org
System optimal traffic routing can mitigate congestion by assigning routes for a portion of
vehicles so that the total travel time of all vehicles in the transportation system can be …