Intelligent Transportation Systems, and Transportation Safety and Mobility
Intelligent Transportation Systems, and Transportation Safety and Mobility
Intelligent Transportation Systems, and Transportation Safety and Mobility
Develop and Evaluate New and Innovative Building Materials to Reduce Costs, Improve Performance, and Ultimately Increase the Quality of Life for the People of New Jersey and the Nation // Research and Develop Next Generation Transportation System Solutions for Connected IntelligenceA Novel Approach to Identify Distracted Drivers: a Case Study in New Jersey
Featured Project
Dr. Mohammad Jalayer
jalayer@rowan.edu
The main objective of this study is to identify the actual distracted driving events in the state of New Jersey. To this end, driver behavior was observed and recorded using video cameras along ten major highway corridors in New Jersey. This report provides a detailed analysis of the state’s crash events involving distraction over the past five years. The event data were analyzed to identify the significance of various temporal features and geometric properties of roadways on the rate of distraction. The video data was analyzed to detect distracted driving using artificial intelligence. Together, this study reflects the status and pattern of distraction events across the selected corridors in New Jersey.
Recent Research Projects
The Last Mile Solution: Improving Health & Access to Transportation for Camden's Vulnerable Populations
The project, is a joint effort by Cooper’s Ferry Partnership, in collaboration with Rowan University: Center for Research and Education in Advanced Transportation Engineering Systems (CREATES), and the South Jersey Transportation Authority (SJTA).
Mobile Data Collection Platform
The primary objective of the research project was to develop an platform that can convert existing utility vehicles of New Jersey Department of Transportation (NJDOT) into mobile data collection units.
READ MORENew Jersey Underserved Communities Electric Vehicle Affordability Program
This study aims to evaluate the feasibility of available shared mobility models using the Plug-in Electric Vehicles (PEVs) that target underserved communities in New Jersey. It also develops a robust plan that would provide affordable, implementable, and effective access to PEVs in underserved communities throughout NJ.
LEARN MORENJ Pedestrian and Bicycle Resource Center
The objective of this research is to evaluate the behavior of pedestrians and drivers on Pedestrian Hybrid Beacon (PHB) traffic control device and educate pedestrians and drivers on the sequence of PHB operation.
LEARN MOREReal-Time Traffic Signal System Performance Measurement (Phase II)
The objective of this project is to utilize multi-source data and equipment to establish Signal Performance Measures (SPMs) for real-time monitoring; and conduct pilot testing on the integration of Connected and Automated Vehicle (CAV), Roadside Units (RSU), On Board Unit (OBU) with the existing and planned NJDOT ATSC system.
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