A technical review of the real-time traffic index query system implemented using PHP

As the urban population increases and the number of vehicles continues to increase, traffic congestion during peak hours has become an unavoidable problem in cities. In order to facilitate citizens' travel and improve traffic congestion, many cities have built real-time traffic index query systems. This article will introduce a technical overview of how to use PHP to implement a real-time traffic index query system.

1. Basic architecture of the real-time traffic index query system

The real-time traffic index query system is usually based on existing traffic monitoring data, such as vehicle flow, vehicle speed and congestion and other real-time data, and will These data are visualized in a web interface for users to query at any time. The system usually has the following modules:

1. Data source module: Through the city's traffic monitoring equipment, traffic data is collected and stored in the database.
2. Data analysis module: analyze and process traffic data and calculate real-time traffic index.
3. Data display module: Visualize the calculated real-time traffic index and display it to the user in the Web interface.
4. User module: Users can query traffic index data through the Web interface to understand traffic conditions, such as long-term congestion.

2. Technical details of using PHP to implement a real-time traffic index query system

When building a real-time traffic index query system, PHP is usually used as the back-end language because PHP is easy to Learn and use, with extensive web development support.

The following will introduce the technical details of how to use PHP to implement a real-time traffic index query system:

1. Database design

The traffic index query system requires a database to Store real-time traffic data. In order to ensure the real-time performance of the system, the relational database MySQL is most suitable. Typically, real-time traffic data is divided into two tables: one to store the collected raw data, and the other to store the calculated traffic index data. The original data table structure is as follows:

CREATE TABLE traffic_data (
id int(11) NOT NULL AUTO_INCREMENT,
location varchar(50) NOT NULL,
time datetime NOT NULL,
speed float NOT NULL,
congestion float NOT NULL,
vehicle_count int(11) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;

The structure of the traffic index table is as follows:

CREATE TABLE traffic_index (
id int(11) NOT NULL AUTO_INCREMENT,
location varchar(50) NOT NULL,
time datetime NOT NULL,
index float NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;

2. Data collection

The traffic index query system needs to collect on-site traffic data, including traffic flow and vehicle speed. and congestion data. Data collectors are usually deployed on traffic monitoring equipment, and after collecting data, they are stored in the traffic_data table of the database.

3. Data processing

Analyze, process and calculate traffic data to obtain real-time traffic index data. The traffic index is calculated from the weight distribution of key indicators, usually using linear weighting. Data processing can be done by writing PHP scripts, where MySQL API is used in PHP to access the data in the database.

4. Data display

For the user module, a Web interface needs to be implemented where users can query real-time traffic index data. Web interfaces are typically written in HTML, CSS, and JavaScript, and include backend PHP scripts and database connection code. The web interface presents the traffic index data in the form of a map or list to facilitate user query.

3. Conclusion

By using PHP language, a real-time traffic index query system can be implemented, which can make urban traffic more efficient and reduce vehicle congestion. With the goal of paying attention to the real-time traffic conditions in the city, the system consists of a data source module, a data analysis module, a data display module and a user module. At the same time, in order to ensure the real-time performance and performance of the system, the MySQL database serves as the cornerstone for storing and calculating data. Using PHP language to implement a real-time traffic index query system can provide a more reliable and simple tool for urban traffic management.

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