Multi-intersection cooperative control method and device, electronic equipment and storage medium

A collaborative control, multi-intersection technology, applied in the field of wireless communication and autonomous driving, can solve problems such as unbalanced traffic flow, and achieve the effect of enhancing resilience, alleviating traffic congestion and maintaining reliability.

Active Publication Date: 2020-06-19
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And in most cases, the traffic flow

Method used

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  • Multi-intersection cooperative control method and device, electronic equipment and storage medium
  • Multi-intersection cooperative control method and device, electronic equipment and storage medium
  • Multi-intersection cooperative control method and device, electronic equipment and storage medium

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[0050] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

[0051] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or a plurality of other features, numbers, steps, acts, parts, parts or combinations thereof exist or are added.

[0052] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings an

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Abstract

The embodiment of the invention discloses a multi-intersection cooperative control method and device for networked automatic driving, electronic equipment and a storage medium. The method comprises the following steps: acquiring state information of a target intersection at the current moment, wherein the state information comprises real-time traffic information of the target intersection, a vehicle state of a target vehicle driving to the target intersection and occupation information of the target intersection; determining the maximum passing speed of the target vehicle according to the state information; determining a target driving sequence of the target vehicle passing through the target intersection under the state information by using a deep Q learning network; planning the target speeds of the plurality of target vehicles passing through the target intersection according to the target driving sequence according to the maximum passing speed, wherein the target speed is the speedof the target vehicle passing through the target intersection under the condition that the target vehicle does not exceed the maximum passing speed and does not collide with other vehicles; and sending the target speed to the target vehicle to control the target vehicle to drive at the target speed.

Description

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Claims

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Application Information

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Owner BEIJING UNIV OF POSTS & TELECOMM
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