Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions

You are here

Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions

Abstract: 

The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.

Authors: 

SWAPNEEL RAO KODUPUGANTI, MS
Mr. Swapneel Rao Kodupuganti is pursuing his PhD in Infrastructure and Environmental Systems (INES) program at the University of North Carolina at Charlotte. He earned his master’s degree from the University of North Carolina at Charlotte. His areas of interest are transportation planning, traffic operations, simulation and modeling of transportation facilities, and traffic safety. 

SONU MATHEW, PhD 
Dr. Sonu Mathew, recently, graduated with his PhD in Infrastructure and Environmental Systems (INES) program at the University of North Carolina at Charlotte.  He earned his master’s degree from Sardar Vallabhai National Institute of Technology, Surat, India. His areas of interest are transportation planning, traffic flow modeling and simulation, Geographic Information Systems (GIS) applications, and traffic safety. 

SRINIVAS S. PULUGURTHA, PhD 
Dr. Srinivas S. Pulugurtha, PE, F. ASCE is currently working as Professor & Research Director of the Department of Civil & Environmental Engineering at The University of North Carolina at Charlotte. He is also currently directing the Infrastructure, Design, Environment, and Sustainability (IDEAS) Center at the University of North Carolina at Charlotte.

Published: 
January 2021
Keywords: 
Heterogeneous
Vehicle
Light rail transit
Pedestrian
Bicyclists
Travel time
Delay
Simulation

-

MCTM
CSUTC
NTSC
NTFC

Contact Us

SJSU Research Foundation   210 N. 4th Street, 4th Floor, San Jose, CA 95112    Phone: 408-924-7560   Email: mineta-institute@sjsu.edu