Online deployment of dynamic traffic assignment: architecture and run-time management

R. Geetha Balakrishna · Moshe E Ben-Akiva · Scott Smith

20 citations0/0 files storedIEE Proceedings - Intelligent Transport Systems

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Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

Key issues for the online deployment of dynamic traffic assignment systems are addressed, including model calibration, computational efficiency and system robustness to input data. A case study of the recent deployment of the DynaMIT route guidance system in Los Angeles is provided as an illustration of critical practical aspects in the deployment process. A preliminary evaluation of the system indicates online feasibility from a computational perspective and validates the system's ability to replicate off-line data. Online accuracy tests are promising. Ongoing research approaches to enhance system operation and performance are suggested.

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1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts 2002NETWORK KNOWLEDGE AND ROUTE CHOICE 2001Network State Estimation and Prediction for Real-Time Traffic Management 2004An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables 2006Discrete Choice Models with Applications to Departure Time and Route Choice 2001Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks 2006Off-line calibration of Dynamic Traffic Assignment models 2004On-line calibration for dynamic traffic assignment

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2010dynamic traffic assignment 2014DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model 2016Transportation Demand Analysis

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