Balancing fairness and efficiency in traffic routing via interpolated traffic assignment

D Jalota, K Solovey, M Tsao, S Zoepf… - Autonomous Agents and …, 2023 - Springer
Abstract System optimum (SO) routing, wherein the total travel time of all users is minimized,
is a holy grail for transportation authorities. However, SO routing may discriminate against …

New game-theoretic approach to decentralized path selection and sleep scheduling for mobile edge computing

B Wu, J Zeng, S Shao, W Ni… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network function virtualization (NFV) implements mobile edge computing (MEC) services as
software appliances, and allows resources to be adaptively allocated to accommodate …

A multiclass link transmission model for a class-varying capacity and congested wave speed

MW Levin, D Kang - Journal of Transportation Engineering, Part A …, 2023 - ascelibrary.org
Varying implementations and availability of vehicle automation result in vehicles using
significantly different driving behaviors. Adaptive cruise control implementations vary by …

Pricing of connected and autonomous vehicles in mixed-traffic networks

P Delle Site - Transportation Research Record, 2021 - journals.sagepub.com
For networks with human-driven vehicles (HDVs) only, pricing with arc-specific tolls has
been proposed to achieve minimization of travel times in a decentralized way. However, the …

Enhanced delta-tolling: Traffic optimization via policy gradient reinforcement learning

H Mirzaei, G Sharon, S Boyles… - 2018 21st …, 2018 - ieeexplore.ieee.org
In the micro-tolling paradigm, a centralized system manager sets different toll values for
each link in a given traffic network with the objective of optimizing the system's performance …

CPS-based H∞ pinning approach for mixed traffic considering human driver differences

Z Liu, D Sun, M Zhao, H Zhao - Transportation Research Part C: Emerging …, 2022 - Elsevier
By controlling automated driving vehicles, the human driving vehicles could be indirectly
controlled. This control method is different with the methods in homogeneous traffic. In this …

The impact of optimized fleets in transportation networks

M Battifarano, S Qian - Transportation Science, 2023 - pubsonline.informs.org
Connected technologies have engendered a paradigm shift in mobility systems by enabling
digital platforms to coordinate large sets of vehicles in real time. Recent research has …

[HTML][HTML] Reducing congestion and emissions via roadside unit deployment under mixed traffic flow

Y Liu, Z Chen, S Gong, H Liu - International Journal of Coal Science & …, 2023 - Springer
It is expected that for a long time the future road traffic will be composed of both regular
vehicles (RVs) and connected autonomous vehicles (CAVs). As a vehicle-to-infrastructure …

Online learning for traffic routing under unknown preferences

D Jalota, K Gopalakrishnan, N Azizan, R Johari… - arXiv preprint arXiv …, 2022 - arxiv.org
In transportation networks, users typically choose routes in a decentralized and self-
interested manner to minimize their individual travel costs, which, in practice, often results in …

Socially optimal non-discriminatory restrictions for continuous-action games

M Oesterle, G Sharon - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
We address the following mechanism design problem: Given a multi-player Normal-Form
Game (NFG) with a continuous action space, find a non-discriminatory (ie, identical for all …