01628888

Component

https://doi.org/10.3141/2667-08

This paper presents the development, implementation, and evaluation of predictive active transportation and demand management (ATDM) and weather-responsive traffic management (WRTM) strategies to support operations for weather-affected traffic conditions with traffic estimation and prediction system models. First, the problem is defined as a dynamic process of traffic system evolution under the impact of operational conditions and management strategies (interventions). A list of research questions to be addressed is provided. Second, a systematic framework for implementing and evaluating predictive weather-related ATDM strategies is illustrated. The framework consists of an offline model that simulates and evaluates the traffic operations and an online model that predicts traffic conditions and transits information to the offline model to generate or adjust traffic management strategies. Next, the detailed description and the logic design of ATDM and WRTM strategies to be evaluated are proposed. To determine effectiveness, the selection of strategy combination and sensitivity of operational features are assessed with a series of experiments implemented with a locally calibrated network in the Chicago, Illinois, area. The analysis results confirm the models’ ability to replicate observed traffic patterns and to evaluate the system performance across operational conditions. The results confirm the effectiveness of the predictive strategies tested in managing and improving traffic performance under adverse weather conditions. The results also verify that, with the appropriate operational settings and synergistic combination of strategies, weather-related ATDM strategies can generate maximal effectiveness to improve traffic performance.

01658386

17-06444

English

0000-0002-8443-8928

pp 71–87

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460446

Digital/other

Figures (17) ; References (29) ; Tables (2)

Dynamic traffic assignment; Mathematical prediction; Real time control; Traffic estimation; Travel demand; Weather

Active Transportation and Demand Management; Traffic Estimation and Prediction System (TrEPS)

Active traffic management; Weather-responsive traffic management models

Chicago (Illinois)

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 12:37PM

• Characterization of Trip-Level Pace Variability Based on Taxi GPS Trajectory Data
• Consistency Between Convergence of Dynamic Assignment and Stochasticity of Microsimulation: Implication for Number of Runs
• 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