A review of technology for implementing real-time passenger flow data statistics system using PHP

With the development of cities, people's demand for transportation continues to grow, and the city's public transportation system has become increasingly bloated. It is very important for citizens to understand the real-time passenger flow of public transportation, which can not only improve travel efficiency, but also effectively avoid traffic congestion and station congestion. Therefore, this article will explore the specific technical solutions for implementing a real-time passenger flow data statistics system using PHP.

1. Infrastructure

The real-time passenger flow data statistics system consists of two parts: data collection system and data display system.

The architecture of the data collection system is divided into three layers, namely the data storage layer, the business logic layer and the data collection layer. Among them, the data storage layer uses MySQL to store data. The business logic layer includes functions such as site management, line management, and passenger flow data management. The data collection layer is the core of the entire system. It obtains the latest data by connecting to the real-time bus API, and performs data processing and storage.

The architecture of the data display system is also composed of three layers, namely the backend management layer, the frontend display layer and the interface layer. The backend management layer includes site management, line management, data management and other functions. The front-end display layer includes real-time data display and historical data query. The interface layer is the link between the backend management layer and the frontend display layer, and provides a data interface to the frontend display layer to obtain display data.

2. Data collection system

The data collection system is the core of the real-time passenger flow data statistics system. The following points need to be noted:

1. Data acquisition

The data source is to obtain real-time bus API, which provides real-time bus location, direction, speed and route information. The latest bus information can be obtained directly through the API interface, as shown below:

http://api.bus.com/api/v1/bus/line/000100001/realtime?version=2.0&sign=0123456789ABCDEFGH

Among them, 000100001 is the line number and version is the API version No., sign is the signature of the API.

2. Data processing

After obtaining the latest bus information, data processing needs to be carried out, including data cleaning, data analysis, data verification and other processes. During the data cleaning process, unnecessary data needs to be removed and only valuable data remains. During the data parsing process, the acquired data needs to be parsed according to the data structure, and the acquired data needs to be converted and archived. During the data verification process, the integrity, validity and accuracy of the data need to be checked to ensure the availability and validity of the data.

3. Data entry

After the data processing is completed, the data needs to be entered into the database and the real-time passenger flow data is saved in the database. During the data storage process, it is necessary to select the data storage and indexing methods to ensure fast query and efficient reading and writing of data.

3. Data display system

The data display system is the external manifestation of the real-time passenger flow data statistics system. When designing the data display system, the following points need to be noted:

1. Data display page design

The data display page needs to be designed according to user needs, and the interface needs to be beautiful and easy to operate. A real-time update function needs to be added to the data display page. When new data is entered into the database, the page needs to update the data in real time.

2. Data query and filtering function design

The data query and filtering function is one of the most frequently used functions by users. It is necessary to add query and filtering functions to the data display page. , so that users can query the required data.

3. Data report display function design

The data report display function is one of the most important functions in the data display page. The report display function needs to include the number of people monitoring the site, Data reports such as line passenger flow and time period passenger flow need to consider the beauty and legibility of the report.

4. Implementation of technical solutions

In order to realize the real-time passenger flow data statistics system, PHP needs to be used for development. The main technologies include:

1. Database technology

Database technology is the core technology of the real-time passenger flow data statistics system, which requires the use of MySQL for data storage and query. When designing the database, it is necessary to choose appropriate storage methods and indexing methods to improve data query and reading and writing efficiency.

2. PHP technology

PHP technology is the basic technology for realizing the real-time passenger flow data statistics system. It is necessary to use PHP to write data collection scripts and data display pages. When writing a PHP program, you need to consider the robustness of the program and the security of the data.

3. Web Technology

Web technology is an important technology for realizing real-time passenger flow data statistics system. It is necessary to use HTML, CSS, JavaScript and AJAX and other technologies to realize the data display page. Various functions, including data display, query and report display, etc.

To sum up, the real-time passenger flow data statistics system is an important public transportation data management and dispatching system, which can effectively improve the operational efficiency of urban public transportation and the travel quality of citizens. In the process of system design and implementation, it is necessary to consider data collection methods, data processing and warehousing methods, data display page design and other aspects to provide users with efficient, accurate and practical public transportation data services.

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