Bus Passenger Statistics System and Statistical Method Based on Photosensitive Wireless Sensor Network

Abstract

The invention discloses a photosensitive wireless sensor network-based bus passenger volume statistics system and a statistical method, belonging to the technical field of bus passenger volume statistics. It includes a directional light source, a photosensitive sensor, a communication module, a wireless wide area network, a background server, a command and dispatch center, and an intelligent terminal device. The directional light source provides a photosensitive light source for the photosensitive sensor, and the photosensitive sensor collects light intensity data at the upper and lower doors. The communication module sends the light intensity data to the background server through the wireless wide area network. The background server receives and stores the data, and counts the number of people getting on and off the bus through the number detection algorithm, and the final result is released to the command and dispatch center and the intelligent terminal equipment. The invention is convenient to use, low in price, adopts the wireless transmission mode, does not need to carry out large-scale transformation on the bus, generates extremely low data volume, and reduces the calculation pressure on the processing end. The invention has low maintenance cost, simple structure and reliable precision.

Description

technical field [0001] The present invention relates to the technical field of bus passenger volume statistics, and more specifically, to a bus passenger volume statistical system and statistical method based on a photosensitive wireless sensor network. Background technique [0002] With the rapid development of urbanization, people pay more and more attention to the efficiency and service quality of public travel. As an important means of ground public transportation, buses are the first choice for many citizens because they are affordable, convenient and flexible. At present, the intelligentization of the bus system is developing rapidly. Among them, the passenger load statistics are a very important decision-making basis for smart buses. The passenger load statistics can be combined with the geographical location information of the bus and pushed to terminal devices such as mobile phones. , so that passengers can make timely decision-making and choose the best ride plan ...

AI Technical Summary

Problems solved by technology

[0005] The disadvantages of the above-mentioned prior art are: the mainstream technologies of existing bus passenger counting systems generally include information extraction systems based on IC cards, pressure-sensitive pedal systems, passive infrared and active infrared detection systems, and video image analysis-based systems. system

Analyzing the number of people getting on and off based on video images can theoretically achieve high accuracy, but it is limited by software algorithms and requires independent cameras and high-performance DSP support, so the deployment cost is high

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