Year: 2010
Type: conference-paper
Abstract: Real-time transportation models are proven to be highly useful for traffic management and generation of traveler guidance information. The current state of the practice in real-time transportation modeling is represented by DynaMIT, which generates consistent anticipatory information about the future state of the transportation network based on current real-time data. DynaMIT has been effectively applied across a variety of locations and sensor configurations. The next generation of real-time models will be multi-modal and include representation of dynamic pricing and commercial vehicles. To support this, these models will be based on activity-based demand and will make use of the latest software design strategies, enhanced data availability and personal/vehicle connectivity.
Authors: Martin Milkovits, Eric Huang, Constantinos Antoniou, Moshe Ben-Akiva, Jorge Alves Lopes
Institution: Massachusetts Institute of Technology
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2055464632