Yusuke Hara

TL;DR: In this paper, the authors analyzed how people behaved and traffic congestion expanded immediately after the Great East Japan Earthquake on March 11, 2011 using information such as probe vehicle and smartphone GPS data, and revealed the sudden transition of vehicle speed (i.e., it eventually slowed to less than walking speed and a serious gridlock phenomenon in the Ishinomaki central area occurred).

TL;DR: In the early stages of the COVID-19 pandemic, the Japan government could not impose strong restrictions such as lockdowns as mentioned in this paper, and there has been no such nation-wide behavioral analysis, so they calculated indicators of nationwide behavioral change using data based on mobile phone network.

TL;DR: This study proposes a model that estimates unobserved highway link speeds by a machine learning technique using historical probe vehicle data and extends the current Gaussian graphical model so as to use two or more multivariate normal distributions to accurately estimate unobserved link speeds.

TL;DR: In this article, a tradable permit mechanism for a car sharing system was proposed and a solution algorithm was proposed to solve the problem of uneven distribution of vehicles and origin-destination (OD) demands, and the results indicated that the negative price of using mobility sharing could occur when there was high asymmetric imbalanced OD demand.

TL;DR: The result of the empirical verification shows that the hysteresis loops always form in an MFD on weekdays with good weather, and their formation times correspond to the peak hours of the morning and evening.