Personal Mobility

Greater Stockholm Public Transport Authority (SL) has conducted several customer surveys to determine which traffic information the customer wants and what they think of the existing
traffic information. Both qualitative and quantitative methods have been used. In the
quantitative method 4400 customers were asked about their level of satisfaction regard to
SL’s public transport information. SL found that customers are very satisfied with the digital
information in carriages, vehicles and at stops and stations. They are not, however, satisfied
with the information on disruptions or deviations to the schedule. The customers think that
SL’s permanent information on public transport, for example the information on the digital
displays is nice to know and they are satisfied with it in all respects. However, what they
really need to know is what is going to happen when services are disrupted. To ensure greater
customer satisfaction with public transport information at an overall level, SL must work on
the following issues in the following order of priority: information on disruptions, digital
information and finally, printed permanent information. 

SL – Greater Stockholm Public Transport Authority

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Travel time estimates are a valuable component of Advanced Traveler Information Systems
and have been shown to be of great use to the traveling public. However, such estimates must
be accurate to be useful. In addition, travel time estimates should not be provided when one
can reasonably infer that they are likely to be inaccurate. This paper uses a large data set,
gathered in a previous travel time validation project, to study methods for real-time
identification of inaccurate travel time estimates. In addition, the paper evaluates the effect of
influence area adjustments and the length of the input data window on travel time estimation
accuracy.

Portland State University

Oregon Department of Transportation

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

The Public Transport Information and Priority System, PTIPS, started as a research and
development project conducted by the Roads and Traffic Authority (RTA) of NSW, and
culminated in the development of a prototype presented at the 8th ITS World Congress in
Sydney, Australia, 2001 (1,2). Since then, PTIPS has undergone a robust development phase
directed at delivering a mature product driven by clear requirements based on the real needs
of transit policy makers and transit operators in NSW. An interim version of the system has
been in operation in Sydney since 2006 on two strategic bus corridors.

Traffic Systems Branch, Roads and Traffic Authority of NSW

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Congestion in metropolitan areas is hindering economic growth due to the cost of moving
people and goods, as well as increased delays and fuel consumption. These causes have
contributed to adverse air quality issues and quality of life for our work force. The
Governor’s Fast Forward Initiative is an aggressive program that compresses the Georgia
Department of Transportation (GDOT) 20 year transportation improvement program to 8
years. The purpose of this program is to quickly implement capacity and operational
improvements to address the burden of congestion on Georgia’s transportation network.

Iteris, Inc.

Georgia Department of Transportation

Arcadis G&M, Inc.

Gresham Smith and Partners

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

In the recent years,the deployment of the Adaptive Cruise Control System(here after ACC)
– a system that maintains a steady distance by detection the distance between itself and the
preceding vehicle through a radar sensor – is in promotion thanks to the increase of various
vehicles that load this system.The current ACC still depends on the driver to make the
decision for the deceleration when entering a curve or the acceleration after driving through a
curve. This time, we developed a system that supports the acceleration/deceleration operation
at curves according to road conditions by estimating the road curvature of the preceding curve
based on the information from the navigation system. In this development, we added a
function to the ACC and enabled the drivers to drive at a target speed according to the road
curvature.

Nissan Motor Co., LTD.

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York