With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …

Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

Connected and automated vehicles (CAVs) have emerged as a potential solution to the
future challenges of developing safe, efficient, and eco-friendly transportation systems …

Twitter has become an essential means of communication in emergency situations. The
widespread use of smart phones, anyone can immediately report any incident they witness …

Multi-agent trajectory prediction plays a pivotal role for intelligent transportation and
autonomous driving. Modeling the social interaction among agents and revealing the …

Forecasting traffic congestion patterns in lane-less traffic scenarios is a complex task
because of the combination of high & irregular vehicle densities, fluctuating speeds, and the …

Marketing is a strategy that brings goods and services to all kinds of people. Most of the time
marketing is not done to target the audience but to everyone to increase the chance of …

Accurate prediction the future movements of surrounding traffic participants is crucial for
autonomous driving. Among various strategies, learning complex interactive behaviors …

Vehicular Ad-hoc Networks (VANETs) is a wireless network that provides communication
between vehicles and roadside infrastructure. It has been gaining high attention in the field …

In order to gain a deeper comprehension of the microgrid scheduling method based on multi-
objective optimization, the author proposes research into scheduling microgrids for multi …