This research effort seeks to develop a network modeling framework to
support quantitative assessment and design of vehicle sharing systems based
on probabilistic information on demand, modal preferences, and the existing
transit system configuration. A detailed representation of demand and supply
processes and their interaction will be developed. A mathematical program to
determine optimal system configuration will be formulated. The developed
framework will be applied to a real-world case study to illustrate key
concepts and perform sensitivity analysis. The analysis results will aid
transit planners in assessing the impact of VSP's on their transit network.
In addition, the framework aids VSP operators seeking optimal design systems
that serve as 'last-mile' links of a transit network.
Award Period:
Oct. 2009 – Sept. 2010
Source of Funding:
Mid-Atlantic University Transportation Center, United States Department of Transportation
This research effort seeks to develop a network modeling framework to
support quantitative assessment and design of vehicle sharing systems based
on probabilistic information on demand, modal preferences, and the existing
transit system configuration. A detailed representation of demand and supply
processes and their interaction will be developed. A mathematical program to
determine optimal system configuration will be formulated. The developed
framework will be applied to a real-world case study to illustrate key
concepts and perform sensitivity analysis. The analysis results will aid
transit planners in assessing the impact of VSP's on their transit network.
In addition, the framework aids VSP operators seeking optimal design systems
that serve as 'last-mile' links of a transit network.
