Fifty years of the bottleneck model: A bibliometric review and future research directions
The bottleneck model introduced by Vickrey in 1969 has been recognized as a benchmark
representation of the peak-period traffic congestion due to its ability to capture the essence …
representation of the peak-period traffic congestion due to its ability to capture the essence …
Travel behaviour and game theory: A review of route choice modeling behaviour
F Ahmad, L Al-Fagih - Journal of choice modelling, 2024 - Elsevier
Route choice models are a vital tool for evaluating the impact of transportation policies and
infrastructure improvements, such as the addition of new roads, tolls, or congestion charges …
infrastructure improvements, such as the addition of new roads, tolls, or congestion charges …
Analysis of multi-modal commute behavior with feeding and competing ridesplitting services
Public transit is an essential travel mode in many urban areas. Emerging dynamic
ridesplitting programs provided by transportation network companies (TNCs) can be a …
ridesplitting programs provided by transportation network companies (TNCs) can be a …
Equilibrium analysis of morning commuting and parking under spatial capacity allocation in the autonomous vehicle environment
This study analytically investigates the morning commuting and parking patterns of
autonomous vehicles (AVs) under different spatial road capacity allocation schemes (ie …
autonomous vehicles (AVs) under different spatial road capacity allocation schemes (ie …
Modeling the impact of vehicle-to-grid discharge technology on transport and power systems
Abstract Vehicle-to-grid (V2G) technology enables electric vehicles (EVs) to discharge
unused power to the power grid, allowing EVs to serve as flexible energy resources …
unused power to the power grid, allowing EVs to serve as flexible energy resources …
Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach
This study models a multi-modal network with ridesharing services. The developed model
reproduces the scenario where travelers with their own cars may choose to be a solo-driver …
reproduces the scenario where travelers with their own cars may choose to be a solo-driver …
Public or private? Optimal organization for incentive-based travel demand management
Abstract Incentive-Based Travel Demand Management (IBTDM) strategies have received
more attention in recent years as they are more appealing to commuters than penalty-based …
more attention in recent years as they are more appealing to commuters than penalty-based …
Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis
In the era of transportation big data, the analysis of mobility patterns generally involves large
quantities of datasets with high-dimensional variables recording individual travelers' …
quantities of datasets with high-dimensional variables recording individual travelers' …
Capturing the interaction between travel time reliability and route choice behavior based on the generalized Bayesian traffic model
Travel time reliability plays an important role in travelers' route choice behaviors. Based on a
previously developed generalized Bayesian traffic model, we propose different types of …
previously developed generalized Bayesian traffic model, we propose different types of …
Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems
This study proposes a data-driven approach to understand traveling backward (TB) behavior
while making a route choice in congested metros. First, TB behavior during route choice in …
while making a route choice in congested metros. First, TB behavior during route choice in …