Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

A key aspect of Federated Learning (FL) is the requirement of a centralized aggregator to
maintain and update the global model. However, in many cases orchestrating a centralized …

The transportation network company (TNC) services efficiently pair the passengers with the
vehicles/drivers through mobile applications, such as Uber, Lyft, Didi, etc. TNC services …

Taxis spend a large amount of time idle, searching for passengers. The routes vacant taxis
should follow in order to minimize their idle times are hard to calculate; they depend on …

The emergence of new business and technological models for urban-related transportation
has revealed the need for transportation network companies (TNCs). Most research works …

In recent years, there have occurred many incidents that unmanned aerial vehicles (UAVs)
in the field of national security. While in some situations, UAVs may be deployed …

Vehicle dispatching in the mobility-as-a-service (MaaS) market has gradually become a
situation of multi-service provider competition and coexistence. However, most existing …

According to the safety organization Kids and Cars, in US, an average of 38 children die
each year in hot cars, seemingly forgotten by a distracted parent. Existing car seat alarm …

In modern grid systems which is a typical cyber-physical System (CPS), information space
and physical space are closely related. Once the communication link is interrupted, it will …

Mnih's seminal deep reinforcement learning paper that applied a Deep Q-network to Atari
video games demonstrated the importance of a replay buffer and a target network. Though …