This paper investigates evolutionary implementation of congestion pricing schemes to
minimize the system cost and time, measured in monetary and time units, respectively, with …

Many of today's engineered systems are tightly interconnected with their users, and in many
cases, system performance depends greatly on user behavior [1]. As a result, the traditional …

This paper extends the bottleneck model to study congestion behavior of morning commute
and its implications to transportation economics. The proposed model considers …

An atomic congestion game with two types of agents, cars and trucks, is used to model the
traffic flow on a road over certain time intervals. In this game, the drivers make a trade-off …

We study transportation networks controlled by dynamic feedback tolls. We focus on a
multiscale model, whereby the dynamics of the traffic flows are intertwined with those of the …

For a traffic network with fixed demand of heterogeneous users in terms of their different
values of time (VOT), the system performance can be measured either in time unit by the …

In this paper, we consider repeated routing games with piecewise-constant congestion
taxing in which a central planner sets and announces the congestion taxes for fixed …

We introduce an atomic congestion game with two types of agents, namely, cars and trucks,
to model the traffic flow on a road over various time intervals of the day. Cars maximize their …

Congestion charging schemes are considered to be Pareto-improving if they lead to an
improvement in system performance while ensuring that no user is worse off than in the …

Traffic congestion has dire economic and social impacts in modern metropolitan areas. To
address this problem, in this paper we introduce a novel type of model-free transactive …