Transportation

Chengdu is one of the largest cities in southwest China and the capital city of Sichuan Province. With a large population and huge transportation needs, public transportation is of vital importance to this city. After years of construction and development, Chengdu's public transportation system has formed a modern multi-level and multi-modal transportation network including buses, subways, railways and BRT (Bus Rapid Transit System). The construction and operation of these transportation systems have provided Chengdu citizens with convenient and fast travel modes.

This dataset provides the data collected in the scope of a Systematic Literature Review (SLR) study that focuses on systematically gather and analyse the existing literature on SOTIF published during 2018-2023. By performing a SLR on SOTIF, we have determine the factors associated with the successful implementation of SOTIF measures, the challenges arise when ensuring SOTIF for ADSs, and research gaps from the SLR of existing literature on SOTIF. The dataset can be useful for the researchers and practitioners.

With the rapid development of high-speed trains (HSTs), safety and reliability in HSTs operation have attracted plenty of attention. The wheel, as one of the most crucial components, requires absolutely high reliability. The non-roundness wear is a typical failure mode of the HST wheel, which can have a detrimental influence on track and train components, leading to increased risks of rail breaks, sleeper cracking, high-cycle fatigue of wheels and axles, and bearing damage.

The provided dataset encompasses information essential for analyzing and modeling the research findings presented in the paper, "Driver-pedestrian interactions at unsignalized crossings are not in line with the Nash equilibrium." This dataset includes an array of data related to road user kinematics, demographic characteristics, and personality traits such as social value orientation.