Calibration of Big Traffic Data for a Transport Smart City

The paper illustrates Beijing’s traffic data and looks into the possibility of delicate regulation due to the diversity of the spatiotemporal features, and points out that cloud computing and communication technology, like 4G/5G and WiFi or LiFi, brings great opportunities and challenges for managing big traffic data.

Abstract

Within a smart city, Intelligent Transportation Systems (ITS), especially all kinds of sensors, provide valuable resource for traffic knowledge discovery. This paper presents the critical path of ITS data visualization by literature review, focusingon short-term traffic forecast models that are divided into two categories, namely the sequential spatiotemporal traffic forecasting and unstable characteristics such as big events or abnormal weather, and points out that cloud computing and communication technology, like 4G/5G and WiFi or LiFi, brings great opportunities and challenges for managing big traffic data. Finally the paper illustrates Beijing’s traffic data and looks into the possibility of delicateregulation due to the diversity of the spatiotemporal features.