Integrated Deployment Architecture for Predictive Real-Time Traffic Routing Incorporating Human Factors Considerations
http://www.purdue.edu/discoverypark/nextrans/research/research_in_progress.php
Record Type: UTC

This study seeks to develop an integrated deployment architecture for predictive real-time traffic routing that considers the human factors aspects related to information processing. It has multiple dimensions of research: (i) developing predictive routing algorithms by combining historical and instantaneous traffic feeds as well as employing behavioral models in real-time, (ii) data fusion from multiple sources to obtain reliable estimates of traffic flow conditions, (iii) developing a mechanism for personalized travel information to travelers based on their individual preferences and attitudes; that is, behaviorally-consistent information, and (iv) identifying information dissemination mechanisms that are safe from the perspective of human factors related to information processing while driving.
Start date: 2012/9/1
Status: Active
Contract/Grant Number: DTRT12-G-UTC05
Total Dollars: 146768
Source Organization: Purdue University, West Lafayette
Notes: Purdue University; University of Utah
Date Added: 07/11/2012
Index Terms: Human information processing, Data fusion, Real time information, Routing, Traffic flow, Traveler information and communication systems,

Research and Innovative Technology Administration
University Transportation Centers Program
Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC 20590
USA

NEXTRANS
http://www.purdue.edu/discoverypark/nextrans/
Purdue University, West Lafayette
3000 Kent Avenue
Lafayette, IN 47906
USA
Phone: (765) 496-9729
Fax: (765) 807-3123

Peeta, Srinivas
Phone: (765) 496-9729
Fax: (765) 807-3123
Email: peeta@purdue.edu

Zhou, Xuesong
Phone: (801) 585-6590
Email: zhou@eng.utah.edu