Traffic Simulation with MITSIMLab
Moshe Ben-Akiva (),
Haris N. Koutsopoulos (),
Tomer Toledo (),
Qi Yang (),
Charisma F. Choudhury (),
Constantinos Antoniou () and
Ramachandran Balakrishna ()
Additional contact information
Moshe Ben-Akiva: Massachusetts Institute of Technology
Haris N. Koutsopoulos: The Royal Institute of Technology
Tomer Toledo: Technion – Israel Institute of Technology
Qi Yang: Caliper Corporation
Charisma F. Choudhury: Bangladesh University of Engineering and Technology
Constantinos Antoniou: National Technical University of Athens
Ramachandran Balakrishna: Caliper Corporation
Chapter Chapter 6 in Fundamentals of Traffic Simulation, 2010, pp 233-268 from Springer
Abstract:
Abstract MITSIMLab (MIcroscopic Traffic SIMulation Laboratory) is a microscopic traffic simulation model that evaluates the impacts of alternative traffic management system designs at the operational level and assists in their subsequent refinement. MITSIMLab models the travel and driving behavior of individual vehicles, the detailed movement of transit vehicles, and the various control and information provision strategies through a generic controller. A calibration methodology for important parameters and inputs was also developed. The model has been extended to address the special driving behavior evidenced in urban networks and has been used as a test bed for the evaluation of advanced traveler information systems (ATIS). Calibration and validation results from networks in the United States and Europe are discussed.
Keywords: Route Choice; Lane Change; Link Travel Time; Simultaneous Perturbation Stochastic Approximation; Lead Vehicle (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
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_6
Ordering information: This item can be ordered from
http://www.springer.com/9781441961426
DOI: 10.1007/978-1-4419-6142-6_6
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 ().