The field of intelligent transportation systems (ITS) has emerged over the past 20 years as a result of applying real-time sensing and control technology to more effectively manage surface transportation systems. The management objectives typically encompass many modes with a variety of performance measures such as environmental impact, person- delay, safety, and travel time realiability.   Prioritization of competing objectives, spanning multiple modes, are subject to budgetary constraints and local stakeholder input.  Although the prioritization of objectives varies somewhat by country and region, the two fundamental challenges are 1) Real-time sensors that characterize the state of the system and 2) Well-defined control and management practices that are responsive to sensor data.
 
The first podium session will be oriented toward the technology aspects of intelligent transportation systems in the area of passenger vehicles and public transport.

Estimating Arterial Travel Time Using Vehicle Signature Re-identification
Brian Fuller, Sensys Networks

The Intelligent Transport Systems in Beijing Olympic Games
Jianping Wu, Beijing University of Posts and Communication

The second module of this session will be oriented toward system capacity management techniques, as well as the government’s role in balancing standardization with the need to stimulate private sector innovation.  

Developing Procedures for Estimating Capacity of U-Turn Movement at Median Openings
Pan Liu, School of Transportation, Southeast University

Application of Probe Data for Transportation System Management
Jason Wasson, Indiana Department of Transportation