Work

Traffic Congestion Detection Based On GPS Floating-Car Data

Year: 2011

Type: conference-paper

Abstract: Congestion has been a major challenge to urban traffic system. Based on GPS floating-car data (FCD), a method to acquire traffic congestion information is studied. And then, using about 6,000,000 pieces of data generated by 500 taxis in one day as experiment data, we extract the traffic congestion information of a big city in China through GPS data preprocessing, map matching, travel speed estimation, and several other key steps, and finally a map which exhibit the traffic congestion distribution of the city is produced.

Source: Procedia Engineering

DOI: 10.1016/j.proeng.2011.08.1028

Authors: Zhang Yong-chuan, Zuo Xiao-qing, Zhang li-ting, Chen Zhen-ting

Institutions: Kunming University of Science and Technology, Kunming Metallurgy College

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

Funder: National Natural Science Foundation of China