In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

The prospect of driverless cars wide-scale deployment is imminent owing to the advances in
robotics, computational power, communications, and sensor technologies. This promises …

To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …

Driver behaviors, particularly lane-changing behaviors, have an important effect on the
safety and throughput of the roadway-vehicle-based transportation system. Lane-changing …

This paper presents a Fuzzy Inference System (FIS) which models a driver's binary decision
to or not to execute a discretionary lane changing move on freeways. It answers the …

Discretionary lane-changing (DLC) is one of the complex driving manoeuvres that requires
surrounding traffic information for efficient and safe manoeuvring. The connected …

Models of driving behavior (eg, car following and lane changing) describe the longitudinal
and lateral movements of vehicles in the traffic stream. Calibration and validation of these …

The advances in wireless communication schemes, mobile cloud and fog computing, and
context‐aware services boost a growing interest in the design, development, and …

In this article, we investigate discretionary lane change (DLC) characteristics using Next
Generation SIMulation (NGSIM) data sets. We first develop a set of heuristic rules to …

This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban
arterials based on the information of connected and Bluetooth equipped vehicles. Online …