Traffic Simulation with DynaMIT
Moshe Ben-Akiva (),
Haris N. Koutsopoulos (),
Constantinos Antoniou () and
Ramachandran Balakrishna ()
Additional contact information
Moshe Ben-Akiva: Massachusetts Institute of Technology
Haris N. Koutsopoulos: The Royal Institute of Technology
Constantinos Antoniou: National Technical University of Athens
Ramachandran Balakrishna: Caliper Corporation
Chapter Chapter 10 in Fundamentals of Traffic Simulation, 2010, pp 363-398 from Springer
Abstract:
Abstract DynaMIT (Dynamic Network Assignment for the Management of Information to Travelers) is a dynamic traffic assignment model system that estimates and predicts traffic. DynaMIT is also a real-time system for decision support at traffic management centers for generation of predictive traffic information. A planning version also exists. DynaMIT captures the dynamic performance of the network (e.g., lane-based queuing and spillback effects), travel behavior, its sensitivity to traffic conditions and available traffic information, and consistency between demand and supply. DynaMIT consists of a demand simulator, a supply simulator, and algorithms that capture demand and supply interactions. Methodologies for the online and offline estimation of OD flows and the offline and online calibration of various inputs and parameters (such as network performance parameters) have been developed as well. Several case studies from the United States, Europe, and Asia are discussed, and a distributed version of DynaMIT is also presented.
Keywords: Extend Kalman Filter; Route Choice; Simultaneous Perturbation Stochastic Approximation; Dynamic Traffic Assignment; Route Guidance (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (4)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-6142-6_10
Ordering information: This item can be ordered from
http://www.springer.com/9781441961426
DOI: 10.1007/978-1-4419-6142-6_10
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().