Parallel transportation management and control was proposed three decades ago as a new
paradigm for conducting complex transportation operations and has led to today's DeCAST …

Rapid development of AI technologies has propelled the seamless integration of physical
and cyber worlds with various kinds of online/offline information collected from millions of …

ABSTRACT 1 In this paper we present Tripod, a smartphone-based system to influence
individuals' real-time 2 travel decisions by offering information and incentives with the …

Congestion pricing is a standard approach to mitigate traffic congestion in a number of
urban networks around the world. The advancement of satellite technology has spurred …

Real-time network control strategies such as congestion pricing have been used in a
number of metropolitan areas around the world for traffic congestion mitigation. Recent …

Abstract Simulation-based Dynamic Traffic Assignment models have important applications
in real-time traffic management and control. The efficacy of these systems rests on the ability …

Abstract We present the Information Comply Model (ICM) which extends the framework for
macroscopic within-day DTA proposed by Gentile (2016) to represent the rerouting of drivers …

Exploiting the full potential of pedestrian infrastructure is becoming critical in many
environments which cannot be easily expanded to cope with the increasing pedestrian …

This paper presents a stochastic approximation framework to solve a generalized problem of
off-line calibration of demand for a multimodal microscopic (or mesoscopic) network …

The design of dynamic tolling algorithms for managed lanes is complex and challenging, in
part due to the often conflicting and differing objectives of the operator, travelers and the …