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A traffic evaluation method and system for mixed lanes of public transport and autonomous vehicles

An automatic driving and evaluation system technology, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve problems such as traffic systems that are difficult to apply to multiple types of vehicles, and improve traffic efficiency and safety. The effect of guaranteeing the service level of public transport

Active Publication Date: 2022-08-05
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional traffic evaluation methods are mainly based on macroscopic traffic flow characteristics, which are difficult to apply to traffic systems containing multiple types of vehicles

Method used

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  • A traffic evaluation method and system for mixed lanes of public transport and autonomous vehicles
  • A traffic evaluation method and system for mixed lanes of public transport and autonomous vehicles
  • A traffic evaluation method and system for mixed lanes of public transport and autonomous vehicles

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Embodiment Construction

[0039] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present invention will be more thoroughly understood, and will fully convey the scope of the present invention to those skilled in the art.

[0040] The present invention provides a traffic evaluation method and system for a bus-autonomous vehicle mixed lane in a broad sense, which can be corrected according to specific conditions in the actual application process. The main idea is to make full use of bus lanes and express bus lanes, try to avoid complicated and disorderly random events of human driving, and ensure the reliable and efficient operation of autonomous veh...

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Abstract

The invention discloses a traffic assessment method for mixed traffic lanes of buses and autonomous vehicles. It is characterized in that the method includes: characterizing the bus based on the time when the bus arrives at each road section; based on the driving time of the bus and Period, calculate the local coordinates and phase difference of each road section, which includes ordinary road sections, entrance sections, exit sections, overtaking sections, and non-overtaking sections; based on the starting point and destination point of the autonomous vehicle, each road section is automatically driven Vehicles allocate spatio-temporal trajectories; calculate the travel time of autonomous vehicles on different road segments; calculate the travel time of all autonomous vehicles on each road segment within a cycle. Through the present invention, the road resources of the dedicated bus lanes and the advantages of autonomous driving technology are fully utilized, while ensuring the service level of public transportation, improving the traffic efficiency and safety of autonomous vehicles, and providing a better solution for traffic in mixed traffic lanes. Effective transportation assessment methods for efficiency.

Description

Technical field [0001] The invention relates to the fields of autonomous driving technology and urban public transportation, and in particular, to a traffic assessment method and system for mixed lanes of buses and autonomous vehicles. Background technique [0002] Autonomous driving technology has developed very rapidly in recent years. Because it can drive vehicles automatically and accurately detect road conditions, it has huge potential in improving road traffic capacity, reducing energy consumption and pollution emissions. However, although autonomous driving technology has made great progress, mature fully autonomous driving is not yet possible at this stage. At the same time, manual driving vehicles will also exist for a long time, forming a traffic scenario of "automatic driving-manual driving hybrid". For self-driving vehicles, the existence of manual driving vehicles will seriously affect the traffic efficiency and increase the difficulty of detecting the road env...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/065
CPCG08G1/0125G08G1/0137G08G1/065
Inventor 李萌陈湘冬郭娅明林犀
Owner TSINGHUA UNIV
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