Personal Mobility

There have been many attempts to implement dynamic ridesharing projects over the
past 15 years, most with very limited success.  The Avego Project at University
College Cork (UCC), in Ireland, provides greater potential by leveraging the advent
of location intelligent consumer mobile phones to provide a marketplace for drivers to
offer their empty seats to riders in real time.  By pricing seats based on mileage,
drivers are incentivized to carpool, and passengers are provided an affordable
transportation option.  Based on preliminary results from UCC, as well as evidence
from past dynamic ridesharing projects, this paper presents 5 critical success factors
for the successful design and implementation of a community-based dynamic
ridesharing project.

Avego Limited

Presented at the ITS America Annual Conference and Exposition, May 3-5, 2010, Houston, Texas

After briefly stating the principle of GPS technology, the paper synthetically analyzes  the research  background of the surv-control and navigation of GPS vehicle management system. Also its latest research situation in China and abroad is introduced. The paper emphasizes the study on the unique surv-control and navigation of GPS vehicle management system which adapts to the China’s situation.  Then the system’s design procedures are expounded and the
software’s frame and function of every section are set up. The software tool—MapInfo which can combine map with  text information perfectly and its notable characteristics of the table GIS are detailedly introduced. In the end, prospect of GPS and GIS applications in the surv-control and navigation of vehicle is looked into future. Based on analyzing and comparing the characteristic of three system program development software, MapBasic, VB, VC++ and comprehensive consideration VC++ is selected as the system development software.

School of Transportation of  Wuhan University of Technology, Wuhan China

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

In Taiwan, freeway traffic is often congested during peak hour or during seasonal holiday periods. For deploying Advance Traveler Information System, to predict the travel time is essential. There are many various methods had been created to predict the travel time in the past. However, most of them are too complex. In this paper, a model using the Grey forecasting theory is adopted in views to its few data needed for getting prediction result within short term. The predicted result is good, especially for the travel time changed in short term. Furthermore, the improvement for overcoming the shortcomings by using simple Grey model is also conducted to reduce travel time fluctuation impact and then to enhance the prediction accuracy. The results implicate that these methods can do help to improve the prediction accuracy. A revised method of Grey travel time prediction model is then developed.

Institute of Civil Engineering, National Taiwan University

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

The main objective of this research was to investigate four types of RGI (Route
Guidance Information) systems and evaluate the suitability of the systems, which will
improve safety and mobility of foreign drivers who drive temporarily in Japan. Twelve
foreign drivers were asked to operate a driving simulator while using four types of route
guidance information developed by utilizing arrow-type and map-type information. Glance
behavior including fixation time, glance frequency, and mental workload were measured.
Results suggest that the most suitable navigation system for foreign drivers is to provide
selectable information by driver’s control, which is supported by more explicit and simple
information than that of a current navigation system.

Faculty of Science and Technology, Keio University

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

The main objective of this research was to investigate four types of RGI (Route
Guidance Information) systems and evaluate the suitability of the systems, which will
improve safety and mobility of foreign drivers who drive temporarily in Japan. Twelve
foreign drivers were asked to operate a driving simulator while using four types of route
guidance information developed by utilizing arrow-type and map-type information. Glance
behavior including fixation time, glance frequency, and mental workload were measured.
Results suggest that the most suitable navigation system for foreign drivers is to provide
selectable information by driver’s control, which is supported by more explicit and simple
information than that of a current navigation system.

Faculty of Science and Technology, Keio University

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