Abstract:Motor vehicle travel survey is a very important content in urban traffic survey. Traditional survey methods are mainly manual observation methods, which have high labor costs and limited information acquisition; With the continuous improvement of information management level, the coverage of road traffic science and technology facilities such as electronic police and checkpoint is becoming wider and wider. The vehicle position data identified by checkpoints can achieve full tracking of motor vehicle travel tracks. Based on the checkpoint data within the main urban area of C city, supplemented by road network data, the main methods of data statistical analysis, map matching and visualization are used to extract the motor vehicle travel feature data and road network operation status. The statistical data features and results basically conform to the traffic travel rule of C city, and have the good operability and replicability.
