Dynamic traffic assignment: model classifications and recent advances in travel choice principles
Abstract Dynamic Traffic Assignment (DTA) has been studied for more than four decades
and numerous reviews of this research area have been conducted. This review focuses on …
and numerous reviews of this research area have been conducted. This review focuses on …
[PDF][PDF] Dynamic traffic assignment: A primer (transportation research circular e-c153)
Dynamic Traffic Assignment: A Primer is designed to help explain the basic concepts and
definitions of dynamic traffic assignment (DTA) models and addresses the application …
definitions of dynamic traffic assignment (DTA) models and addresses the application …
A unified equilibrium framework of new shared mobility systems
Modeling congestion effects arising from multiple travel modes, shared mobility modes in
particular, is non-trivial because of the complex interactions among diverse agents and …
particular, is non-trivial because of the complex interactions among diverse agents and …
A link-node reformulation of ridesharing user equilibrium with network design
Though the conventional network design is extensively studied, the network design problem
for ridesharing, in particular, the deployment of high-occupancy toll (HOT) lanes, remains …
for ridesharing, in particular, the deployment of high-occupancy toll (HOT) lanes, remains …
Ridesharing user equilibrium with nodal matching cost and its implications for congestion tolling and platform pricing
Ridesharing (RS) has been modeled as a specific multimodal equilibrium where solo and
RS vehicles have different travel cost structures. An extended network structure that …
RS vehicles have different travel cost structures. An extended network structure that …
Ridesharing user equilibrium and its implications for high-occupancy toll lane pricing
Shared mobility—ridesharing in particular—has become an important research topic in
recent years because of the ability to relieve traffic congestion, reduce travel costs, and …
recent years because of the ability to relieve traffic congestion, reduce travel costs, and …
Model of an advance-booking system for highway trips
P Edara, D Teodorović - Transportation Research Part C: Emerging …, 2008 - Elsevier
In the 16th International symposium on transportation and traffic theory, we had presented a
novel demand management concept known as the Highway Space Inventory Control …
novel demand management concept known as the Highway Space Inventory Control …
Deep-PRESIMM: Integrating deep learning with microsimulation for traffic prediction
AE Essien, I Petrounias, P Sampaio… - … on Systems, Man and …, 2019 - ieeexplore.ieee.org
This paper presents a proactive model and tool for urban traffic analysis and management
that integrates deep learning for traffic parameter prediction with traffic microsimulation …
that integrates deep learning for traffic parameter prediction with traffic microsimulation …
Optimal deployment of managed lanes in general networks
Falling budget, political, and environmental constraints force decision makers and
transportation authorities to develop innovative ways to better manage existing facilities …
transportation authorities to develop innovative ways to better manage existing facilities …
Toward an integrated traffic law enforcement and network management in connected vehicle environment: Conceptual model and survey study of public acceptance
The increasing number of traffic accidents and their associated traffic congestion have
prompted the development of innovative technologies to curb such problems. This paper …
prompted the development of innovative technologies to curb such problems. This paper …