Personal Mobility

There are several wireless communication methods for vehicle to vehicle communication and the communication methods using ad- hoc have been studied recently. [1][2] But to use the ad- hoc communication method in vehicle to vehicle communication, there are so many problems which we have to solve. [3]   Especially fields of MAC and Routing Protocol have been actively researched for vehicle to vehicle communication. Among of them routing protocol is a role of discovery new routing path and routing path maintenance. [4][5][6] If a vehicle to vehicle communication environment has high speed, the total network performance will be rapidly down. Because existing routing protocol has developed in environment of high speed so many part is modified or improved.

Hanyang University

Jungwon B/D. 2nd. 99-1

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

ARKTRANS is the national framework architecture for multimodal intelligent transportation
systems (ITS) in Norway. This paper describes an action research approach where
ARKTRANS is improved through practical use in a project addressing multimodal travel
information services. The usability of ARKTRANS with respect to person transport, travel
information service and multimodality is assessed. An overview of the content of
ARKTRANS that supports the establishment of new and improved travel information services
is given: The roles played by the stakeholders involved; the functionality needed by these
roles; process descriptions showing interactions between the roles; information exchanged via
open services; and the technical implementation of these services.

SINTEFICT

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

Every year, thousands of vehicles are involved in crashes which are attributed to the onset of driver drowsiness. To address this issue, a prototype integrated system was developed that combined machine-vision based drowsy driver monitoring technology and the analysis of operator/vehicle performance parameters to reliably assess driver drowsiness. PERCLOS (a measure of eye closure) is considered to be the “gold standard” of drowsiness detection metrics. Systems have been developed to measure PERCLOS. However, issues including eyewear, ambient illumination, and head movement present hurdles which can be difficult to overcome. Research has investigated driver control metrics associated with drowsiness, and lane position appears to be a key indicator. This paper reports on a project aimed at integrating PERCLOS with other drowsiness metrics to form a new measure, PERCLOS+ (PERCLOS plus other measures), that may prove to be a more robust measure in a real-world, field application as compared to a single metric system.

Virginia Tech Transportation Institute

Federal Motor Carrier Safety Administration

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

This pap er presents two quality measures, the accuracy and relevance, to quantify the p erformance
of travel time estimation metho ds. The measures capture the trend and variability of travel time
estimation resp ectively, based on the fact that the \true" travel time for a given time instant for
a route is actually not unique. The prop osed quality measures are illustrated using prob e vehicle
and lo op detector data on a commuter route in the San Francisco Bay Area.

University of California, Berkeley

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

It is understood that estimation of travel time on an urban express way is difficult because heaviness  of  congestion  differs  from  day  by  day  and  from  hour  by  hour.  Especially  the accuracy of the estimation gets worse with an external factor of traffic flow theory such as rainfall,  a  fallen  thing  from  a  heavy  truck  on  the  road  and  a  traffic  accident.  The  paper introduces  Bayesian  statistics  to  the  estimation  in  order  to  overcome  the  problem.  From Bayesian theorem a vague prior probability of occurrence of a certain travel time is revised by a  conditional  probability  which is  calculated  as  a joint  probability  of occurrence of  these factors under a certain travel time. The revision accomplishes more accurate estimated travel time from the posterior probability. The paper tries to establish the method in a case study on the MEX (the Metropolitan Expressway) in Tokyo, and an acceptable result is presented.

Pacific Consultants Co., Ltd., Japan

Tokyo University of Science, Japan

Tokyo University of Science

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