Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions

 

 

Several urban areas in the United States have planned for new facilities to cater to the needs of users of alternate modes of transportation (e.g., public transportation, walking, and bicycling) over the next 30 years. As an example, the city of Charlotte has extended their current light rail line (from South Charlotte to Uptown) to the University area in the northeast part of the region. There are plans to add more light rail routes and build pedestrian- / bicyclist-friendly infrastructure (e.g., on-street bicycle lanes, sidewalks, crosswalks, pedestrian signals, etc.). However, there is not enough evidence to justify if such plans are instrumental in improving mobility and enhancing safety of the transportation system from a multimodal perspective. The goal of this project was to research and model operational performance of urban roads with heterogeneous traffic conditions to improve safety, reliability, and mobility of people and goods.

Principle Investigator: Srinivas S. Pulugurtha
Research Staff: Swapneel Rao Kodupuganti, Sonu Mathew
Funding Agency: United States Department of Transportation / San Jose State University