Personal Mobility

Increasingly, transit authorities are harnessing advances in sensor, payment, and enforcement
technologies to operate parking facilities more efficiently by enhancing customer parking
experiences and thereby increasing ridership and overall revenue. In the short term, these
innovations promise to increase the effective supply of existing parking with minimal
investment. Over the longer term, these systems could further expand ridership by generating
revenue to add parking capacity and improve access. This paper reports on the Smart Parking
Pilot Project on the COASTER commuter rail line in San Diego (California, USA), which
builds on the transit-based smart parking field test research conducted at the Rockridge San
Francisco Bay Area Rapid Transit (BART) District station. The paper begins with a literature
review on parking management and pricing and the optimization of parking resources at
transit facilities. Next, the authors describe results of an initial pilot feasibility study. Finally,
the phased smart parking implementation plan, carefully tailored to address key transit-related
parking problems at the station and corridor levels, is described along with the pilot project’s
evaluation criteria.

University of California, Berkeley

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

The growth  in motorization and changes  in  traveling behavior of  the population  lead  to ever
increasing  traffic  volumes  on  existing  road  system,  which  mean  the  traffic  conditions  are
aggravating. The  lack of  the space  in urban environment makes expanding  the existing  road
system very difficult,  if not  impossible. On  the other hand we witness  the ongoing  technical
development of our  society  (everyday use of  internet,  speed of data  transfer, possibilities of
informing  drivers  over  variable  message  signs).  This  means  the  development  of  complex
model for traffic information could be a solution designed for a wide range of road users.

Visualization that the end user will benefit the most from includes filtered data about traffic
conditions on traffic network, where the most important thing is to display data in a clear and
simple way, so  the  information can not be misinterpreted. Possible ways of displaying  traffic
conditions and other useful  information are  through variable message signs, auto navigation,
on the internet and through mobile phone.

University of Ljubljana

PTI

Traffic design

PNZ

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

The paper presents the concept and results for the development of a multi-modal
passenger information system on the web for the Attika Region, Greece. This is an
ambitious on-going project, which aims at collecting & processing real time and
historical traffic and transit data in order to synthesize dynamic guidance through the
Region’s web portal. The main innovation is the use of a dynamic traffic assignment
tool, which will exploit the available real time data in order to estimate travel time
forecasts for the entire urban, peri-urban and interurban road network. On top of that,
public transport schedules will be collected and maintained in order to calculate
public transport alternative routes for the internet users. To show the complexity of
this task alone, the Attika Region comprises of 9 different transit modes.

TREDIT SA

Infotrip SA

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

GPS can provide very accurate vehicle locations. As a result, many companies have tried to
utilize it for collecting road traffic information, both for historical information as well as for
real-time traveler information. However, there are several limitations of this method such as
low sampling rate, cost of collecting the data, and anomalies of the fleet vehicle driving
patterns, to name a few. An alternative method for metro-wide data collection is wireless-
based traffic monitoring, which has its limitations as well.  This article compares the
advantages and limitations of both methods based on field trials and simulations which show
that GPS data can be very useful for collecting historical information with relatively low cost.
However GPS data isn’t relevant for REAL-time traffic information, since it usually entails
hours of delay in detecting slowdowns, even over major urban highways, while a wireless-
based solution can generate very good real-time data but only between 6am and 11pm.

Cellint Traffic Solutions

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

Effective travel time prediction is very important to many advanced traveler information and
transportation management systems. In many travel time prediction approaches, the link
travel time accumulated database (DB) and real-time link travel time information are used to
predict the link travel time. Especially, the link travel time accumulated DB, which extracts
the periodic (i.e., daily, weekly, etc.) patterns of link travel time, is believed having direct
influence on the accuracy of travel time prediction in normal traffic status. In this paper, an
automatic updating approach of link travel time accumulated DB is proposed to enclose the
long- and mid-term changes in the road traffic status caused by variations in the road
conditions (changes in road networks, etc.) and socio-economic development (changes in
vehicle ownership rate, etc.), and then improve the accuracy of the DB constantly. By
applying the approach to a probe information system in Nagoya city, it is confirmed that the
advancement of DB is useful to improve the road network coverage of travel time
information, and the accuracy of travel time prediction.

NEC Corporation

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York