Safety

Transportation System Management and Operation (TSM&O) is a new program within the Florida Department of Transportation. It is based on measuring performance, actively managing the multimodal transportation network and delivering positive safety and mobility outcomes to the traveling public in South Florida. This technical paper describes how the program was established in South Florida and how the Department will work with local agencies to implement the program and manage a network of arterials and limited access facilities in real-time.

Transportation System Management Operation

District Four Traffic Operations Engineer

Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida

Active traffic management consists of a series of integrated congestion management strategies including speed harmonization, queue warning, hard shoulder running, dynamic rerouting, travel time signs, ramp meter control, managed lanes, etc. This study aims to provide a comprehensive review and comparative analysis on various active traffic management strategies and their application. The detailed analyses of the key technologies are provided, and the system benefit, safety, and equity concerns are addressed in this paper. The findings of this study indicate active traffic management systems demonstrate the great potential for freeway congestion mitigation and safety enhancement.

Department of Civil, Architectural and Environmental Engineering, University of Texas

Department of Civil Engineering, University of New Mexico

Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida

A presentation on Road Weather from Dr. David Stensrud, presented to TSAG on May 23, 2012.

A frontal collision warning system (FCWS) for transit buses is introduced. The main purpose
of the transit FCWS is to help bus drivers avoid crashes. Given the fact that buses mostly run
in complex urban and suburban environments, it is a challenge for the system to keep high
sensitivity to frontal collision scenarios and give drivers timely true warnings while
suppressing the excessive nuisance and false warnings. The system architecture and the latest
developments of the warning algorithm are introduced. The verification test of the system is
discussed. The threat assessment in the warning algorithm is described. Categorization and
analyzes of scenarios and the statistic result are presented.

PATH program, Institute of Transportation Studies, University of California at Berkeley, USA

Department of Electronic Engineering, Tsinghua University, Beijing, China

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California