Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification

2014 ◽  
Author(s):  
Peng Liu ◽  
Arda Kurt ◽  
Umit Ozguner
Keyword(s):  
Driver Behavior ◽  
Trajectory Prediction ◽  
Lane Changing

scholarly journals ANALYSIS OF DRIVER BEHAVIOR IN VEHICLE FOLLOWING AND LANE CHANGING PARAMETERS ON URBAN MID BLOCK SECTIONS

2021 ◽  
Vol 9 (2) ◽  
pp. 1169-1177
Author(s):  
Sowjanya, Et. al.
Keyword(s):  
Road Traffic ◽  
Driver Behavior ◽  
Video Data ◽  
Heterogeneous Traffic ◽  
Heterogeneous Environments ◽  
Trajectory Data ◽  
Lateral Direction ◽  
Lane Changing ◽  
Traffic Conditions ◽  
Road Section

In mixed traffic situations, there is weak or no lane behavior of the driver much more complicated where vehicle and driver behavior show a huge difference between them. Road traffic driving behavior on urban midblock sections is one of the most complex phenomena to be examined particularly in heterogeneous traffic conditions. This is often attributed to the capacity of the road section and the traffic flow features at the macroscopic and microscopic level of a road section. Very few researchers have attempted to investigate these features in heterogeneous environments because of the lack of adequate information gathering methods and the amount of complexity involved. In this background, an access controlled mid block road section was selected for video data collection. The main objectives of this study include developing vehicular trajectory data and analyzing the lane changing and vehicle following behavior of driver on the mid block section considering the relative velocities and relative spacing between various types of vehicles under heterogeneous traffic conditions.  The videos were collected from urban roadway in the Kurnool district of Andhra Pradesh. The length of the stretch is 120m and the width is 7.0 m. The data was extracted to know the variations in terms of longitudinal and lateral speeds, velocities, vehicle following and lane changing behavior of the drivers. The data extracted was smoothened by moving average method to minimize the human errors. Lateral amplitude of the vehicles of various types was analyzed. The study revealed that vehicles in the mixed stream, in general and in particular, Bikes and Autos particularly move substantially in the lateral direction.

Exploratory Analysis of Lane Changing on Freeways Based on Driver Behavior

2015 ◽  
Vol 141 (4) ◽  
pp. 04014090 ◽  
Author(s):  
Corey Hill ◽  
Lily Elefteriadou ◽  
Alexandra Kondyli
Keyword(s):  
Driver Behavior ◽  
Exploratory Analysis ◽  
Lane Changing

scholarly journals Car following and lane changing behavior using NGSIM and China data

2019 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Md Mijanoor Rahman ◽  
Mohd. Tahir Ismail ◽  
Majid Majahar Ali
Keyword(s):  
Reproducing Kernel ◽  
Road Traffic ◽  
Reproducing Kernel Hilbert Space ◽  
Driver Behavior ◽  
Trajectory Data ◽  
Maximum Acceleration ◽  
Lane Changing ◽  
Traffic Jam ◽  
Car Following ◽  
Stopping Distance

Road safety is imperative theme because increasing road fatalities deaths in world. Besides road fatalities, traffic jam is increasing, human is frustrated for uncomfortable journey. The roads safety and passengers comfortable of the roadway system are vastly depended on the Car following (CF) and Lane Changing (LC) features of drivers. CF and LC theory describe the driver behavior by following paths in a traffic stream. In this research, researchers have compared to US-101 Next-Generation-Simulation (NGSIM) data with Beijing forth ring road, China freeways real trajectory data by CF and LC models. The CF data has been calibrated with Genetic Algorithm (GA). Reproducing Kernel Hilbert Space (RKHS) is generated the LC beginning and finishing points. Findings revealed that the CF parameters as maximum acceleration, minimum deceleration, free speed, minimum headway and stopping distance percentages of Chinese data are 74.71%, 79.95%, 66.57%, 0.018% and 65.65% respectively of NGSIM data. After completing the comparison, researchers have been found out optimization safety and comfortable acceleration-deceleration and LC beginning-finishing points of driver behavior. Here this analysis generates the driver behavior at real traffic network on the express highways of specific two roads US-101 (NGSIM) data and Chinese freeways data. Since NGSIM data is well simulated so road traffic is more safety and comfortable for journey.

The Effect of a Temporary Bottleneck in Two-Lane of a Road on Traffic Flow Based on the Kerner-Klenov-Wolf Model

2011 ◽  
Vol 474-476 ◽  
pp. 215-219
Author(s):  
Hai Jun Liang ◽  
Hong Yu Yang ◽  
Chao Xiao ◽  
Peng Sheng ◽  
Jian Wei Zhang
Keyword(s):  
Traffic Flow ◽  
Driver Behavior ◽  
Traffic Model ◽  
Lane Changing ◽  
Heterogeneous Distribution ◽  
Vehicle Type ◽  
Model Based ◽  
The Asymmetry ◽  
The Difference

Considering a temporary bottleneck made by special accidents, we proposed a new two-lane traffic model based on the KKW (Kerner–Klenov-Wolf) model. According to the difference of driver behavior and vehicle type, we present a new asymmetry lane-changing rules and the model of grabbing the entrance of a bottleneck. In our simulation, as demonstrated by various examples, the asymmetry lane-changing and the heterogeneous distribution of vehicles easily result in complex fluctuations of traffic flow and jam.

Study on the Traffic Behavior of On-Ramp System Considering Driver Behavior

2014 ◽  
Vol 926-930 ◽  
pp. 3661-3664
Author(s):  
Li Na Liu ◽  
Jie Wang ◽  
Chang Sheng Zhu ◽  
Qing Yang
Keyword(s):  
Traffic Flow ◽  
Driver Behavior ◽  
Real Life ◽  
Open Boundary ◽  
Open Boundary Conditions ◽  
Lane Changing ◽  
Main Road ◽  
Road Map ◽  
Behavior Characteristics ◽  
Traffic Behavior

based on the main road into a two lane entrance ramp system the open boundary conditions, using the asymmetric lane changing rules, considering driver behavior characteristics, from standpoint of safety driving ,simulate the entrance ramp system. We get a basic road map different entrance probability of flow, velocity, and analyze the driving safety.compared with reference, and the reference results show that after considering driver behavior, in the ramp at the interface, reduce the interaction with the main ramp,not only the system traffic flow in each section is improved, and but also improve the driving safety.Considering the entrance ramp system driver behavior can be simulated more in line with the running state of the vehicle in real life.

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