Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …

With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

Transportation systems operate in a domain that is anything but simple. Many exhibit both
spatial and temporal characteristics, at varying scales, under varying conditions brought on …

A fundamental question in any peer-to-peer ridesharing system is how to, both effectively
and efficiently, dispatch user's ride requests to the right driver in real time. Traditional rule …

Traffic signal control is an emerging application scenario for reinforcement learning. Besides
being as an important problem that affects people's daily life in commuting, traffic signal …

With the emerging concept of sharing-economy, shared electric vehicles (EVs) are playing a
more and more important role in future mobility-on-demand traffic system. This article …

Order dispatching is instrumental to the marketplace engine of a large-scale ride-hailing
platform, such as the DiDi platform, which continuously matches passenger trip requests to …

Ride-hailing platforms (eg, Uber and Didi Chuxing) have become increasingly popular in
recent years. Efficiency has always been an important metric for such platforms. However …

Reinforcement learning (RL) is one of the most vibrant research frontiers in machine
learning and has been recently applied to solve a number of challenging problems. In this …