Traditionally, the model time in agent-based simulations is advanced in fixed time steps.
However, a purely time-stepped execution is inefficient in situations where the states of …

Driving simulation is an invaluable tool for conducting driving-related research. In any virtual
driving environment, autonomous traffic is necessary to complete the driver's immersive …

Due to the sheer infinite number of test scenarios for test and validation of automated
driving, stand-alone on-road testing of these systems is not reasonable, calling for the …

Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …

A realistic long-term microscopic traffic simulator is necessary for understanding how
microscopic changes affect traffic patterns at a larger scale. Traditional simulators that model …

Waiting in a long queue at traffic lights not only wastes valuable time but also pollutes the
environment. With the advances in autonomous vehicles and 5G networks, the previous …

Conducting real road testing for autonomous driving algorithms can be expensive and
sometimes impractical, particularly for small startups and research institutes. Thus …

We propose a cyber-physical platform that combines road traffic simulation, network
simulation, and physically simulated vehicles to facilitate extensive testing on various levels …

Ramp merging is considered as one of the major causes of traffic congestion and accidents
because of its chaotic nature. With the development of connected and automated vehicle …

Research and development in the field of intelligent transportation systems (ITS) can be
costly in terms of both time and money. A significant initial and ongoing investment is often …