One of the most important and fundamental topics in autonomous navigated vehicle research is lane change maneuver for obstacle avoidance or overtaking maneuver. In literature, path car-like vehicles has widely been generated with geometrically smooth segments by solving boundary conditions under given constraints. This paper proposes a new method continuous curvature generation issue while clot...

The current paper implements a methodology for automatically detecting vehicle maneuvers from telemetry data under naturalistic driving settings. Previous approaches have treated maneuver detection as classification problem, although both time series segmentation and are required since input continuous. Our objective is to develop an end-to-end pipeline the frame-by-frame annotation of studies ...

This paper studies a weakly and asymmetrically coupled three-lane driven diffusive system. A non-monotonically changing density profile in the middle lane has been observed. When the extreme value of the density profile reaches ρ = 0.5, a bulk induced phase transition occurs which exhibits a shock and a continuously and smoothly decreasing density profile which crosses ρ = 0.5 upstream or downs...

In weaving section due to a strong need for lane changing, a type of turbulence is created in traffic flow; so, the speedand the capacity of the weaving section decreases. Therefore, investigation of the weaving section is very important.However, due to shortage of the manual for urban principal arterials (highways), calibration of these models is necessary.One of these models...

Lane-changing is an important driving behaviour and unreasonable lane changes can potentially result in traffic accidents. Currently, the lane-changing data are often recorded with high resolution, which not appropriate for some common deep learning approaches. To capture stochastic time series of high-resolution behaviour, this study introduces a temporal convolutional network (TCN) to predict...

This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred from camera images using the estimated lane width obtained from the lane tracking camera as the reference. Six-hundred lane change events were acquired from a large-scale naturalistic driving data set. The kinematic v...

Resolving traffic congestion caused by sudden events (e.g., an accident, lane closed due to construction) on the freeway has always been a problem that is challenging address perfectly. The resolution can take hours if severe, and vehicles must voluntarily line up exit spots. Most state-of-the-art scheduling schemes often rely signal controllers mitigate in fixed areas intersection, blocked are...

This article presents a concept for a possible implementation of the H-Mode (horse metaphor) concept in a test vehicle where the driver and the automation are simultaneously involved in the control loop of the driving task following the idea of shared control. Consequently, the driving task is executed as a cooperative collaboration between driver and automation. The developed concept is mainly...

In Vehicular Ad hoc NETworks (VANETs), trigger-based pseudonym change schemes play an important role in providing anonymity. However, the anonymity provided by these schemes usually is low mainly because the behavior of changing pseudonym is individual. Considering cooperation on changing pseudonym can enhance anonymity, in this paper, we give a general cooperation framework. As an application ...