Toll station lane dynamic intelligent guiding system

Abstract

A toll station lane dynamic intelligent guiding system disclosed by the present invention comprises a processor, the processor is connected with a detection module, the detection module is provided with a flow module, a speed detection module and a first detection module, and the speed detection module and the flow module are jointly provided with a length prediction module. The processor is connected with a guide module, the guide module is internally provided with a billboard module, an indication lamp module and an indication board module, the guide module is connected with a second detection module, the processor is connected with a power supply module, the processor is provided with a planning module, and the processor is connected with a display module. According to the invention, the queuing length of the vehicles on the lane in front of the toll station can be well detected, and the congestion time of each lane can be judged according to the speed of the vehicles passing through the toll station, so that planning is facilitated, rapid passing of each lane can be well ensured, and the vehicles can be effectively indicated through the indication board and the indication lamp.

Description

technical field [0001] The invention relates to the technical field of vehicle drainage, in particular to a dynamic intelligent guidance system for lanes of toll stations. Background technique [0002] At present, the toll collection method of expressway toll stations is mainly in the form of manual toll collection. Because the efficiency and processing speed of the toll collectors are different, the driver's vehicle stops at the toll window, the time of picking up the card, and the time of various behaviors are also different from person to person, resulting in different traffic speeds. , and the different traffic speeds lead to the inconsistency of the changing speed of the vehicle queuing length. As a result, when new vehicles choose toll lanes for queuing, they are often in a short-term wait-and-see state. Among them, there are many specific characteristics such as lane changes across multiple queuing lanes, sudden departure in queuing and choosing other lanes, and hesit...

AI Technical Summary

Problems solved by technology

[0003] The existing ETC traffic method can improve the speed of road operation very well, but when the road is congested, it can be diverted to take artificial passages, and some vehicles also need to use artificial passages for detection, which may cause congestion in front of toll stations, which is not conducive to vehicles The rapid movement of vehicles, and the rear vehicles cannot accurately predict the situation in the front section, thus aggravating the congestion. For this reason, we propose a dynamic intelligent guidance system for toll booth lanes to solve the above problems

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