Intelligent Transportation Systems Integration of Real-Time Emissions Data and Traffic Management Systems

Case Study

traffic

Challenges

There is a shortage of effective and feasible procedures for validating microscopic, stochastic traffic simulation models. Many times when the micro-simulators are used on real networks, it has led to traffic gridlock, or to simulation failures. The failures could provide clues about where there may be deficiencies in the simulation model.

Outcomes & Results

NISS analyzed the data from the CORSIM simulation model to discover where failures occurred. A failure was identified as one or more traffic links on the network where vehicles were unable to discharge for an unusually long period. These malfunctions can be detected through the use of link-based time traces of vehicle trips. Identifying locations where malfunctions arose required further spatial analyses. The result was that there would be less failures in the micro-simulation model, thus improving traffic management.


Research Project

NISS examined emission models for integrating on road emissions data with traffic parameters and produced a usable method for traffic management operations. The team verified results by integrating results from remote sensor data on emission measurements and traffic data using area wide detectors. They also designed ITS system architecture for performing field trial experimentation. NISS assembled a small forum of technical experts and representative users in the region to review the methodology and recommend revisions, if any, before performing field experimentation.

Technical Report(s):

https://www.niss.org/sites/default/files/pdfs/technicalreports/tr154.pdf

Project Goal: 

Examine emission models for integrating on road emissions data with traffic parameters and produce a usable method for traffic management operations.

Research Team: 

Principal Investigator(s): Nagui Rouphail, NCSU

Senior Investigator(s): Jerome Sacks, NISS; Alan Karr, NISS

Post Doctoral Fellows:  Todd Graves, Piyushimita Thakuriah