Using reinforcement learning to minimize the probability of delay occurrence in transportation
Reducing traffic delay is of crucial importance for the development of sustainable
transportation systems, which is a challenging task in the studies of stochastic shortest path …
transportation systems, which is a challenging task in the studies of stochastic shortest path …
[PDF][PDF] Transportation network analysis
SD Boyles, NE Lownes… - Vol. I: Static and Dynamic …, 2020 - sboyles.github.io
This book is the product of more than ten years of teaching transportation network analysis,
at the The University of Texas at Austin, the University of Wyoming, the University of …
at the The University of Texas at Austin, the University of Wyoming, the University of …
Risk-averse equilibrium for autonomous vehicles in stochastic congestion games
A Yekkehkhany, R Nagi - arXiv preprint arXiv:2007.09771, 2020 - arxiv.org
The fast-growing market of autonomous vehicles, unmanned aerial vehicles, and fleets in
general necessitates the design of smart and automatic navigation systems considering the …
general necessitates the design of smart and automatic navigation systems considering the …
An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs
H Beigy, MR Meybodi - The Journal of Supercomputing, 2020 - Springer
In this paper, we study the problem of finding the shortest path in stochastic graphs and
propose an iterative algorithm for solving it. This algorithm is based on distributed learning …
propose an iterative algorithm for solving it. This algorithm is based on distributed learning …
Bi-level multi-objective model for existing link capacity expansion problem across urban transportation network considering travel time reliability: presenting dynamic …
Urban transportation network design and traffic control problems fall within the scope of
infrastructural engineering sciences which become increasingly more important in ever …
infrastructural engineering sciences which become increasingly more important in ever …
Risk-averse multi-armed bandits and game theory
A Yekkehkhany - 2020 - ideals.illinois.edu
The multi-armed bandit (MAB) and game theory literature is mainly focused on the expected
cumulative reward and the expected payoffs in a game, respectively. In contrast, the rewards …
cumulative reward and the expected payoffs in a game, respectively. In contrast, the rewards …
[图书][B] Dynamic Pricing and Long-term Planning Models for Managed Lanes with Multiple Entrances and Exits
V Pandey - 2020 - search.proquest.com
Express lanes or priced managed lanes provide a reliable alternative to travelers by
charging dynamic tolls in exchange for traveling on lanes with no congestion. These lanes …
charging dynamic tolls in exchange for traveling on lanes with no congestion. These lanes …