Designing Second-best Congestion Pricing using Smart-device Survey and Mathematical Method

2016 Fiscal Year Final Research Report

• Project/Area Number: 26420519
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Civil engineering project/Traffic engineering
• Research Institution: Kumamoto University
• Principal Investigator: Maruyama Takuya 熊本大学, 政策創造研究教育センター, 准教授 (20361529)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: スマートフォン型交通調査 / 行動変容 / 混雑課金

Outline of Final Research Achievements

First contribution of this project is development of smartphone-app-based mobility management system using gamification. Our program enhance the step increase providing ranking information among participants. Three case studies reveals the effectiveness of this program.
Second contribution is to propose a simple method to clarify characteristics huge GPS trajectory using 2D and 3D kernel density estimation. We visualize the time-space participants’ hot spot by 3D kernel density map. In this map, the volume of 95% kernel can be comprehensive index to evaluate the size of activity area and length of stay.
Final contribution is development of a simple long-term travel demand forecasting method: trip-chain-based variable demand model considering network congestion consistently. We validate the method by post evaluation using Person Trip survey data. We confirm that this method can be applicable easily to long-term travel demand forecasting.

Free Research Field

土木計画学