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Intersection centralized scheduling method for multiple-unmanned-vehicle formation

An intersection and scheduling method technology, applied in the field of centralized scheduling, can solve the problem of not considering the service attributes of unmanned vehicles and the formation mechanism.

Active Publication Date: 2017-12-08
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

The above method mainly considers the safety coordination and throughput of intersections and other indicators. The designed method is suitable for the scheduling of a single unmanned vehicle. It does not consider the service attributes and formation mechanism of unmanned vehicles. The optimized scheduling of formations provides effective support

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Embodiment Construction

[0032] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0033] figure 1 The management and scheduling process of the unmanned vehicle formation of the present invention is described.

[0034] combine figure 1 , the basic process of the work of the present invention is as follows: first SC initializes the message queue Q of each critical section of this intersection to be empty, and the corresponding γ-token initial value is 0, and the message queue Q' of the initialization lane is empty, and the user can set The value of the unmanned vehicle formation length is recorded as N, and then wait for the arrival of the reservation message, and update the values ​​​​of each queue and token after the message arrives; Next, SC calculates the total delay time of each vehicle from the first initiation of the reservation to th...

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Abstract

The invention discloses an intersection centralized scheduling method for a multiple-unmanned-vehicle formation. For aiming at a cooperative intelligent traffic system in which unmanned vehicles are used as a mobile service carrier, the method is characterized in that centralized scheduling on the multiple-unmanned-vehicle formation is performed based on vehicle-to-infrastructure communication (V2I); and the disposition in a scheduling computer of each intersection is performed. According to the method, before reaching the intersection by each unmanned vehicle, reserving information for passing the intersection must be performed to the scheduling computer through an on-vehicle wireless network. The scheduling computer utilizes a principle that a high-weight lane has higher priority, thereby performing multiple-vehicle authorization scheduling on the unmanned vehicles in each lane. According to the intersection centralized scheduling method, passing scheduling efficiency of the unmanned vehicle is further improved in a formation scheduling manner, and particularly passing efficiency of the unmanned vehicle with high priority is improved as possible, thereby effectively supporting design of a service-oriented intelligent traffic system, and similar multiple-intelligent-mobile-robot systems for intelligent warehousing and dispensing, etc.

Description

technical field [0001] The invention relates to a centralized scheduling method for multiple unmanned vehicle formations on different lanes at intersections, in particular to a central control computer deployed in T-shaped, Y-shaped, cross-shaped intersections, etc., which can ensure high-priority unmanned A method for dispatching people and vehicles with priority. Background technique [0002] Unmanned vehicles (referred to as unmanned vehicles) are typical intelligent systems with complex environmental perception, environmental judgment, independent decision-making and behavior control. carrier. With the increasing maturity of unmanned vehicle technology and the increasing development of vehicle-mounted network communication technology, the research and design of intelligent transportation systems have begun to enter a collaborative advanced development stage, and will also become an intelligent system that provides multiple mobile services in smart cities platform. Amo...

Claims

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Application Information

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IPC IPC(8): G08G1/0967H04L29/08
CPCG08G1/096725G08G1/096783H04L67/12
Inventor 张凯龙王敏谢策李孝武李刘洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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