Traffic assessment method and system for bus and autonomous vehicle mixed lane

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: 2021-09-17
TSINGHUA UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Traditional traffic evaluation methods are mainly based on macroscopic traffic flow character

Method used

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  • Traffic assessment method and system for bus and autonomous vehicle mixed lane
  • Traffic assessment method and system for bus and autonomous vehicle mixed lane
  • Traffic assessment method and system for bus and autonomous vehicle mixed lane

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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. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to 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-automatic driving vehicle mixed lane in a broad sense, and corresponding corrections can be made in combination with specific conditions in the actual application process. The main idea is to make full use of bus lanes and express bus lanes, and try to avoid complicated and chaotic human-driven random events, so as to ensure the reliable and efficient operatio...

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Abstract

The invention discloses a traffic assessment method for a bus and autonomous vehicle mixed lane. The method comprises the steps: depicting a bus based on the time when the bus arrives at each road section; according to the driving time and period of the bus, calculating the local coordinates and phase differences of all road sections, wherein the road sections comprise a common road section, an entrance road section, an exit road section, an overtaking road section and a non-overtaking road section; based on the starting point and the destination point of the automatic driving vehicle, distributing the space-time tracks for the automatic driving vehicle on each road section; calculating the passing time of the automatic driving vehicle on different road sections; and calculating the passing time of all the automatic driving vehicles on each road section in one period. According to the invention, the advantages of the road resources of the bus lane and the automatic driving technology are fully utilized, so that the traffic efficiency and safety of the automatic driving vehicle are improved while the public traffic service level is guaranteed. The invention further provides an effective traffic evaluation method for the traffic efficiency of the mixed traffic lane.

Description

technical field [0001] The invention relates to the field of automatic driving technology and urban public transportation, in particular to a traffic evaluation method and system for a mixed lane of public transportation and automatic driving vehicles. Background technique [0002] Autonomous driving technology has developed very rapidly in recent years, because it can automatically drive vehicles and accurately detect road conditions, and has great potential in improving road traffic capacity, reducing energy consumption and pollution emissions. However, despite considerable progress in autonomous driving technology, full-fledged, 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 "automatic driving-manual driving mixed traffic" traffic scene. For self-driving vehicles, the existence of manually-driven vehicles will seriously affect the efficiency of traffic, and increase the diff...

Claims

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Application Information

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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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