01632212

Component

https://doi.org/10.3141/2667-09

Dynamic transportation models route vehicles by using the principles of dynamic user equilibrium. These models include a dynamic network loading (DNL) module that is used to evaluate link costs. However, an element of stochasticity creeps into the modeling framework when the analytical dynamic assignment (DA) procedure is used along with a stochastic microscopic DNL. A methodologically correct way of approaching this problem is by solving the entire DA with a microscopic DNL (DA-microDNL) model until convergence for a given random seed and then repeating the process with different seed values. This paper proposes an approach to determine the minimum number of replications of the DA-microDNL model to determine a statistically valid estimate of the measure of effectiveness (MOE). The approach was tested on a small and medium-size network having different demand and network characteristics. Results show that running the integrated DA-microDNL framework for a minimum number of replications provides a statistically significant MOE at much lower computation time. The consistent estimates obtained by using this approach would provide robust information to transportation planners and practitioners in evaluating the impacts of several policy decisions on network performance.

01658386

17-06707

English

pp 88–95

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460446

Digital/other

Figures (2) ; References (26) ; Tables (3)

Dynamic traffic assignment; Measures of effectiveness; Methodology; Microsimulation; Network analysis (Planning); Stochastic processes; Traffic models

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 12:45PM

• Characterization of Trip-Level Pace Variability Based on Taxi GPS Trajectory Data
• Effectiveness of Predictive Weather-Related Active Transportation and Demand Management Strategies for Network Management
• Estimating Path Travel Costs for Heterogeneous Users on Large-Scale Networks: Heuristic Approach to Integrated Activity-Based Model–Dynamic Traffic Assignment Models
• Estimation of Time-Varying Origin–Destination Patterns for Design of Multipath Progression on a Signalized Arterial
• Improved Calibration Method for Dynamic Traffic Assignment Models: Constrained Extended Kalman Filter
• Maximization of Platoon Formation Through Centralized Routing and Departure Time Coordination
• Monitoring Signalized Urban Networks: Dynamic Equilibrium-Free Model Based on a Discrete-Time Optimal Control Formulation
• Multiclass Traffic Assignment Problem with Flow-Dependent Passenger Car Equivalent Value of Trucks
• Multiclass, Multicriteria Dynamic Traffic Assignment with Path-Dependent Link Cost and Entropy-Based Risk Preference
• Online Charging and Routing of Electric Vehicles in Stochastic Time-Varying Networks
• Reducing the Dimension of Online Calibration in Dynamic Traffic Assignment Systems
• Ridesharing User Equilibrium and Its Implications for High-Occupancy Toll Lane Pricing
• Solving the School Bus Routing Problem by Maximizing Trip Compatibility
• User and Operator Perspectives in Public Transport Timetable Synchronization Design