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Intelligent Transportation System (ITS) is recognized as one of the most effective means to solve the problem of modern traffic, and connected vehicle technology is a key link in the intelligent transportation system, which plays a Decisive role in the impact of intelligent transportation. This paper introduces the architecture of connected vehicle which based on DSRC technology, the operating mechanism, and its application. Finally, the connected vehicle platform we have been building is introduced, and it needs further research.

Traffic state estimation is important for active traffic planning, management, and control. By utilizing traffic status over time and space, a key theoretical analysis tool, i.e., shockwave theory, can be adopted as efficient tools to solve bottleneck or congestion problems. Two methods, who are fixed point observations and mobile probe vehicle observations, are typical methods and popular in traffic analytical agencies and projects. But both of them has their problems and new insights are needed for current proactive and online traffic implementations. In this paper, a dynamic traffic shockwave estimation method with both high temporal resolution and high spatial resolution is proposed based on integrating vehicle detecting system data from fixed loop detectors and trajectory data from probe vehicles in a connected vehicle environment. The proposed method was validated in a prevailing dataset. Results showed that the proposed method combined the advantages of mobile and fixed data. As a result, the proposed method is effective in improving the spatial and temporal resolution of the shockwave estimation in the considered general scenario.

Traffic safety has been one of the most primary social problems puzzling big cities over the world. It is widely believed that connected vehicle technology will tackle this problem. To achieve that, we installed RSE (Road Side Equipment) in urban road environment to communicate with OBE (On Board Equipment) through DSRC (dedicated short-range communication) to organize a DSRC network system. However, as a fundamental communication device, RSE may lose connections, which will have impacts on the quality of collected data and finally this might lead to failures of traffic applications. Therefore, it is necessary to validate the connection status of DSRC network environment. In this paper, based on analyzing non-continuous DSRC network system, a field test method for connected vehicle technology (CVT) application is proposed to verify whether such a network system is in good condition to ensure normal usages of traffic applications or not. Then, a case study in the field is conducted to evaluate the validities of some important parameters (i.e., latency, distance, and speed). We draw a conclusion that the network system was available for CVT application; but was desired to be improved.