Xinhu Zheng

TL;DR: It is concluded that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration, and can provide substantial algorithmic support for parallel intelligence.

TL;DR: It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence and implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach.

TL;DR: A deep neural network-based car-following model that takes the velocities, velocity differences, and position differences that were observed in the last few time intervals as inputs and tries to embed prediction capability or memory effect of human drivers in a natural and efficient way.

TL;DR: This paper overviews data sources, analytical approaches, and application systems for social transportation, and suggests a few future research directions for this new social transportation field.

TL;DR: The ITS services enabled by crowdsourcing, the keyword co-occurrence and coauthorship networks formed by ITS publications, and the problems and challenges that need further research are investigated.