Abstract

Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. However, in high-density traffic flow, when a vehicle changes lanes, a series of vehicles following the target vehicle in the target lane will be delayed. In this study, DJI Phantom 4 drones were used to vertically record the traffic on a road section. Tracker software was then used to extract vehicle information from the video taken by the drones, including the vehicle operating speeds, etc. SPSS 22 and Origin analysis software were then employed to analyze the correlations between different vehicle operating parameters. It was found that the operating speed of the first vehicle following the target vehicle in the target lane is related to the speeds and positions of both the target vehicle and the vehicle preceding it. Under the condition of high-density traffic flow, when the target vehicle is inserted into the target lane, the speed of the vehicles following the target vehicle in the target lane will change. To model this process, the corresponding Sine and DoseResp models were constructed. By calculating the delays of vehicles following the target vehicle in the target lane, it was concluded that the overall delay of the fleet is 3.9–9.5 s.

Highlights

  • Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory

  • When the target vehicle is inserted into the target lane, it is affected by factors such as the distances from and speeds of the vehicles preceding and following it, which causes the target vehicle to adopt different insertion angles and speeds

  • When the target vehicle C is inserted into the target lane at a fixed insertion angle, its extended trajectory line intersects the horizontal line of vehicle B at point m, and the coordinates of point m are xmi, ymi

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Summary

Introduction

Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. Under the condition of high-density traffic flow, when the target vehicle is inserted into the target lane, the speed of the vehicles following the target vehicle in the target lane will change. To model this process, the corresponding Sine and DoseResp models were constructed. When the traffic density is low, the lane change of a vehicle is helpful for increasing the driver’s expected driving speed; the lane change of a vehicle under the condition of high-density traffic flow will affect the driving speed of the vehicles following the target vehicle in the target lane (FOL)[1,2]. The delay of the parking or deceleration of the following vehicles caused by LC is related to the LC time of the target vehicle, which is the main content of the present research

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