Yukimasa Matsumoto

Evaluation of CO 2 Emission Reduction from Vehicles by Information Provision Using Driving Simulator

Reduction of CO2 emissions has become an important social issue all over the world. Especially, the transportation sector is expected to play a sufficient role for it. Therefore, the information provision system to a vehicle for passing through the upcoming signalized intersection is proposed in this paper to decrease unnecessary vehicle movements and also to reduce the amount of CO2 emissions from a vehicle approaching the signalized intersection. The system provides recommended speed information and accelerator-off indication, in which the vehicle could pass through the intersection or shorten the idling time if it would follow the provided information. Driving experiments were conducted with a driving simulator where the proposed information system was introduced. Multiple regression analysis showed that providing the recommended speed information and the accelerator-off indication reduced the amount of CO2 emissions significantly. However, as subjective evaluations of the system by participants were dispersed, the information provision system is expected to be tailored to each driving characteristics.

Estimation of bus traveling section using wireless sensor network

One of the means to improve convenience of bus users is to introduce a bus location system that provides the users with such useful information as the present bus location and estimated time of arrival at the bus stop. However, since most of the existing bus location systems utilize the cellular network, the communication cost could become quite high. In order to alleviate this problem, we have been proposing a novel bus location system using a wireless sensor network that does not require any communication cost. This paper improves this system further, and offers a method to estimate the bus traveling section without the support of GPS so as to reduce the manufacturing cost of transceivers on board community buses. We have developed a prototype device of the system and conducted on-road demonstration experiments to verify the effectiveness of our proposed system, and it was confirmed that by our proposed system, the present bus traveling section can be estimated with sufficient accuracy.

A WEEKEND TRAFFIC DEMAND ESTIMATION MODEL BASED ON TRAFFIC COUNTS ON SCREEN LINES

本研究は二種類の方法論による休日OD交通量の推定手法について提案したものであり, ともに休日交通に関する情報として休日におけるスクリーンラインの観測断面交通量のデータを用いている. 一つは残差平方和最小化に基づく推定手法であり, 一つは同時生起確率最大化に基づく推定手法である. 本研究ではこの両手法における推定モデルを実際に京阪神地域において適用計算を行い, 本推定手法の有用性を検証した.