A Bus Passenger Flow Statistics System Based on Photosensitive Sensor Array

Abstract

The invention discloses a bus guest flow statistical system based on a photosensitive sensor array. The system comprises a photosensitive sensor array, a single-chip microcomputer, a GPS locator and a GPRS module, wherein the photosensitive sensor array is composed of multiple photosensitive sensors which emit different potential signals according to whether surface light is blocked and send the potential signals to the single-chip microcomputer; the single-chip microcomputer judges whether there are passengers getting on or off the bus according to the potential signals sent by the photosensitive sensors, respectively counts number of passengers getting on or off the bus to get passenger flow information, and sends the passenger flow information to systematic background through the GPRS module; and the GPS locator provides bus station location and path information and sends the bus station location and path information to the systematic background through the GPRS module. By detecting surface light through the array composed of the photosensitive sensors, the statistical function of bus passengers getting on or off the bus is realized. Bus passenger flow statistical accuracy and robustness are enhanced.

Description

technical field [0001] The invention relates to bus passenger flow statistics, in particular to a bus passenger flow statistics system based on a photosensitive sensor array. Background technique [0002] As an important public service provided by the government, urban public transport plays a vital role in urban passenger transport. With the rapid development of my country's economy and society and the acceleration of urbanization, the pressure on public transport in key economic regions has been showing a high growth trend in recent years. In the case of a relative shortage of road resources and a limited number of vehicles, it is an important way to alleviate the urban traffic pressure by making full use of the maximum carrying capacity of buses through a scientific and efficient vehicle scheduling plan, and the important basis for the formulation and implementation of the vehicle scheduling plan is Accurate passenger flow at each station, such as the number of people bo...

AI Technical Summary

Problems solved by technology

[0003] At present, there are many methods for passenger flow statistics, which are generally divided into two categories: one is the traditional manual statistics and bus ticket (swiping card) counting methods, which consume a lot of manpower and material resources, and it is difficult to meet regular and real-time sexual demands

The other type is the relatively advanced Automatic Passenger Counter (APC), which widely uses pressure sensor passenger counting, infrared sensor passenger counting, and machine vision-based passenger counting. There are large errors and defects in large actual environments

For example, the counting accuracy of the pressure sensor is low when multiple people get on the bus continuously, the equipment is fragile, and the maintenance cost is high; the counting method based on the infrared sensor sometimes has a missed detection rate of more than 60% when the passengers are crowded; the machine vision-based The passenger counting scheme is greatly affected by the external environment, and it is difficult to track multiple targets, the processing speed is slow, and it is difficult to accurately judge the number of people when many people are crowded on the bus

Therefore, there is no method in China that can accurately count the bus passenger flow

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