Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

As a develo** trend of urbanization, massive amounts of urban statistical data with
multiple views (eg, views of Population and Economy) are increasingly collected and …

Traffic speed data imputation is a fundamental challenge for data-driven transport analysis.
In recent years, with the ubiquity of GPS-enabled devices and the widespread use of …

Low-rank tensor completion methods have been advanced recently for modeling sparsely
observed data with a multimode structure. However, low-rank priors may fail to interpret the …

Remote transportation microwave sensor (RTMS) technology is being promoted for China's
highways. The distance is about 2 to 5 km between RTMSs, which leads to missing data and …

Nonrecurrent traffic congestion (NRTC) usually brings unexpected delays to commuters.
Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The …

Rich and complete data play a fundamental role in intelligent traffic management and control
applications. A great volume of missing data is found in the intelligent transportation system …

As an unconventional design to alleviate the conflict between left-turn and through vehicles,
Continuous Flow Intersection (CFI) has obvious advantages in improving the sustainability …

Recent development in sensing and communication technologies has made the collection of
a large amount of traffic data easy and transportation engineering has entered the big data …