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China’s Beidou-3 global satellite navigation system, short for Beidou system（BDS）, was fully operational on July 31, 2020, which has become the basis of the interconnection and intelligence of all things in the information society. Based on the analysis of the architecture and key technologies of Internet of Things （IoT）, the service types of BDS, and the main mode of BDS applications in IoT, this paper proposes a BDSIoT technology architecture, which takes BDS’s positioning and timing as the main perception information, takes the short message and other characteristic services as the main information transmission means, and integrates Internet and artificial intelligence technology. Then, the typical application of BDS services in the IoT field is further analyzed, and the application mode of“IoT + BDS”is put forward. Finally, taking smart city, intelligent transportation and other applications as examples, the challenge of BDS is analyzed, the development advice is given, and the new driving force of BDS for innovation driven development is proved. [ABSTRACT FROM AUTHOR]

License plate recognition is a significant technology to build a smart city transportation system. The current license plate recognition systems have achieved a good recognition and application effect for single-row license plates, nonetheless, these can’t satisfy the recognition need for license plates which contain stacked characters. Based on this problem, this paper proposed a method based on deep learning and independent of character segmentation to identify the license plates containing stacked characters. Firstly, the method corrected the tilted or distorted license plate, and used MobileNet-SSD algorithm to detect single-row characters and stacked characters in the license plate. Then, it sent stacked characters to the stacked character recognition network based on CTC loss and conducted the end-to-end identification without character segmentation. Result of the experiment indicates that this algorithm not only has high recognition accuracy for the license plate with stacked characters, but also adapts to the license plate under the complex environment such as tilt and distortion, greatly improves the generality of the license plate recognition system. [ABSTRACT FROM AUTHOR]

Software defined network(SDN) has attracted much attention in recent years.Some scholars have integrated it with smart city construction.In view of the current situation of decentralized traffic management and combined with the characteristics of SDN forwarding and control separation and centralized control,this paper introduced it into intelligent transport system(ITS),and proposed a collaborative management architecture to achieve collaborative management and improve traffic.Firstly,it expounded the characteristics of SDN,and proposed an intelligent traffic architecture based on SDN by using ITS characteristics and combining with ITS.Secondly,it built a collaborative management strategy model combining factors such as dynamic speed limit,path guidance and weather and compared with a single control strategy.Finally,through simulation experiments,it verified and analyzed the proposed architecture strategy.The experimental results show that compared with the single control strategy,the management under this architecture smooths the traffic flow,reduces the average delay at the intersection by 20.7%,reduces the average queue length by 35%. [ABSTRACT FROM AUTHOR]