Safety

In this study, the applicability of USN devices and technologies is investigated in preventing
traffic crashed at typical urban intersections. The proposed intersection crash prevention
system can display the crash warning messages  to drivers when crash-prone conditions are
detected through USN sensors installed along intersection approaches. The system can further
change the traffic signal settings in real-time, if necessary. The crash-prone conditions are
determined by analyzing simultaneously the car-following behavior of vehicles approaching
the intersection and the dilemma zone phenomenon.

Telematics & USN Research Division, ETRI.

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

This paper focuses on the use of the Benefit-Cost-Deficit (BCD) model as a
framework for input data vectors of redundant prediction tools. A case-based reasoning
system and a neural network system are developed and applied to predict particular intentional
human errors: traffic violations called barrier removals made the car drivers. Two groups of
input data are compared: a group containing the data from the car and from the human actions
and a group containing the translation of these data in terms of BCD parameters. Results
obtained by the redundant prediction tools using both groups of input data are discussed.

University of Valenciennes

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

COOPERS,  an  EC  FP6  funded  IP  deals  with  co-operative  systems,  enabling  the
communication of  real  time data between  infrastructure and vehicle. The main objectives of
this undertaking  are  to enhance  road  safety  as well as  to  increase  traffic efficiency. Drivers
should get  traffic information directly  into the vehicle, presented on an on-board unit similar
to a navigation system. Due to the fact, that a lot of user groups and stakeholders are affected
by a COOPERS system the requirements on such a system and its services are various.  

The underlying paper focuses on  the needs of  the end users, which have been categorized  in
two  groups:  private  and  professional  drivers,  and  further  gives  an  overview  on  the
methodological approach of the study.  

Key  words:  co-operative  systems,  road  safety,  road  efficiency,  traffic  information,
information service, user groups, user needs.

High Tech Marketing

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

In this paper, the negative consequences of deer-related accidents are shown. Further,
characteristics of these types of accidents are revealed. Measures to reduce collisions with
animals are rather expensive and inefficient, due to various circumstances, for example the
deer becomes accustomed to some measures. A new, more effective device is developed in
Austria at the moment. First results in test sites around Austria and the US, show that the
device is to 90 % and more effective.

Vereinigung High Tech Marketing

IPTE Schalk&Schalk OEG

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

In order to enhance driver safety and ultimately enable vehicle autonomy on existing roadways,
sensing techniques must be developed to determine the designated vehicle path from the
roadway.  This paper addresses various vision based techniques to determine drivable path on
developed roadways and lane detection algorithms to facilitate path generation.  These
techniques carry with them a range of strengths and weaknesses such that the fusion of multiple
techniques can supplement weaknesses of each other to create a more robust system.  Southwest
Research Institute (SwRI
®) has undertaken the Southwest Safe Transport Initiative (SSTI) aimed
at investigating the development and commercialization of vehicle autonomy as well as vehicle-
based telemetry systems to improve safety and facilitate traffic flow.  This paper will discuss the
results of various vision based path detection techniques used to date in the SwRI SSTI program
and their integration to provide a more robust overall path detection algorithm.

Southwest Research Institute

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