01340010

Component

https://doi.org/10.3141/2254-07

http://scholar.google.com...hang&publication_year=2011

With the increasing interest in road pricing strategies to alleviate congestion and improve network performance, this study develops a multicriterion dynamic user equilibrium (MDUE) traffic assignment model that explicitly considers heterogeneous users who seek to minimize three essential decision attributes: travel time, out-of-pocket cost, and travel time reliability in the underlying path choice framework. The value of time in this study is treated as a continuous random variable distributed across the population of trip makers, and travel time reliability is estimated at a path level. Furthermore, the proposed MDUE model is capable of considering different vehicle classes, namely, low-occupancy vehicles and high-occupancy vehicles; thus, with greater realism in trip makers’ path choice behavior, the MDUE model is applicable for analyzing a variety of road pricing scenarios. To address the practical application aspects for large-scale congested networks, novel implementation techniques are proposed to overcome computational obstacles to real-world application. An application to the New York metropolitan regional network is demonstrated, and a set of numerical experiments is conducted on this network to explore the convergence behavior, solution quality, and required computational time of the MDUE algorithm.

01363928

11-3304

English

pp 58-67

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222990

Print

Figures (8) ; References (26)

Algorithms; Congestion pricing; Road pricing; Route choice; Traffic assignment; Travel behavior; Travel time; Value of time

Computational efficiency; Dynamic user equilibrium; Travel time reliability

New York Metropolitan Area

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB

Feb 17 2011 6:28PM

• Analytic Relationships Between Travel Time Reliability Measures
• Behavioral Foundation of Route Choice and Traffic Assignment: Comparison of Principles of User Equilibrium Traffic Assignment Under Different Behavioral Assumptions
• Comparative Analysis of Alternate Econometric Structures for Trip Generation Models
• Design Features of Activity-Based Models in Practice: Coordinated Travel–Regional Activity Modeling Platform
• Design of Comprehensive Microsimulator of Household Vehicle Fleet Composition, Utilization, and Evolution
• Dynamic Activity Generation Model Using Competing Hazard Formulation
• Estimating Through-Trip Travel Without External Surveys
• Goodness-of-Fit Evaluation Method for Agent-Based Household Microedata Sets Composed of Generalized Attributes
• Incorporating Stochastic Road Capacity into Day-to-Day Traffic Simulation and Traveler Learning Framework: Model Development and Case Study
• Integrated Equilibrium Travel Demand Model with Nested Logit Structure: Fixed-Point Formulation and Stochastic Analysis
• Investigation of Underlying Distributional Assumption in Nested Logit Model Using Copula-Based Simulation and Numerical Approximation
• Joint Model of Participation In Nonwork Activities and Time-of-Day Choice Set Formation for Workers
• Network User Equilibrium Model for Scheduling Daily Activity Travel Patterns in Congested Networks
• On the Information Matrix in Mixed Logit Models Estimation
• Planning-Constrained Destination Choice in Activity-Based Model: Agent-Based Dynamic Activity Planning and Travel Scheduling
• Properties of Expected Travel Cost Function with Uncertain Travel Time
• Variability of Travel Time, Users’ Uncertainty, and Trip Information: New Approach to Cost–Benefit Analysis