Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …

Real-time traffic surveillance is essential in today's intelligent transportation systems and will
surely play a vital role in tomorrow's smart cities. The work detailed in this paper reports on …

Internet of Things (IoT) is playing an increasingly important role in Intelligent Transportation
Systems (ITS) for real-time sensing and communication. In ITS, vehicle types, volume and …

Vehicle counting is a fundamental component in Intelligent Transportation System (ITS) for
city traffic management. Although a number of vehicle counting approaches have been …

In this paper, hybrid chromosome genetic algorithm is applied to establishing the real-time
classification model for surface defects in a large-scale strip steel image collection. After …

Vehicle detections are an important research field and attract many researchers. Most
research efforts have been focused on vehicle parking detection (VPD) in indoor parking lot …

Vehicle count and classification data are very important inputs for intelligent transportation
systems (ITS). Magnetic sensor-based technology provides a very promising solution for the …

Knowledge mining from the historical traffic big data is absolutely necessary for future
intelligent transportation system (ITS) and smart city. Mining traffic data is a challenging task …

At present, the research of vehicle speed estimation algorithm based on wireless magnetic
sensor networks has made great progress. The general idea of the existing algorithms is to …

We propose a novel method for identifying heading direction of a ferromagnetic target by
processing magnetic measurements of two directions. The proposed method relies on the …