01593632

Component

https://doi.org/10.3141/2567-09

Dynamic traffic assignment (DTA) has received increasing attention in recent years, and there are numerous examples of practical implementations. This work adds to the literature by describing the ongoing experience of building the first large-scale simulation-based DTA model in Australia. The input data for the model are summarized, and an in-depth discussion and an analysis of model output and the calibration process are presented. Current results put 80% of the 322 calibration points spread across the network within an acceptable bound of error, but the project found that alternative metrics of network performance also must be considered so that other aspects of model realism are not neglected. The described DTA model could be used for evaluating important policy decisions and infrastructural development in the context of the macro- and mesoscale network operation. Additionally, this project is a proof of concept for the Australian region and may provide insight to practitioners interested in emerging areas of transport planning and traffic modeling.

01618747

16-4906

English

pp 78–86

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441261

Print

Figures (6) ; Maps; References (28) ; Tables (3)

Case studies; Dynamic traffic assignment; Performance measurement; Simulation; Traffic models; Transportation planning

Sydney (Australia)

Data and Information Technology; Highways; Planning and Forecasting

PRP, TRIS, TRB, ATRI

Jan 12 2016 6:08PM

• Analysis of Advanced Management of Curbside Parking
• Data-Driven Prediction Methodology of Origin–Destination Demand in Large Network for Real-Time Service
• Dynamic Optimal Vehicle Relocation in Carshare Systems
• Genetic Algorithm–Based Routing Problem Considering the Travel Reliability Under Asymmetrical Travel Time Distributions
• Impact of Autonomous Vehicles on Traffic Management: Case of Dynamic Lane Reversal
• Implications of Cost Equity Consideration in Hazmat Network Design
• Modeling Freeway Work Zones with Mesoscopic Dynamic Traffic Simulator: Validation, Gaps, and Guidance
• Optimal Heterogeneous Sensor Deployment Strategy for Dynamic Origin–Destination Demand Estimation
• Parallel All-Pairs Shortest Path Algorithm: Network Decomposition Approach
• Path Finding in Stochastic Time Varying Networks with Spatial and Temporal Correlations for Heterogeneous Travelers
• Planning of Resource Replenishment Location for Service Trucks Under Network Congestion and Routing Constraints
• Pricing and Segmentation of Stochastic Demand in Less-Than-Truckload Combinatorial Bids
• Solving Continuous Network Design Problem with Generalized Geometric Programming Approach
• Use of Concepts of Regret and Disappointment to Model Dynamic Route Choice Behavior Under Uncertainty