This paper presents a method of optimizing the elements of a hierarchy of fuzzy-rule-based
systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) …

The Didi Dache app is China's biggest taxi booking mobile app and is popular in cities.
Unsurprisingly, short-term traffic demand forecasting is critical to enabling Didi Dache to …

Nowadays, the problem of road traffic safety cannot be ignored. Almost all major cities have
problems such as poor traffic environment and low road efficiency. Large‐scale and long …

As far as taking-away of the symmetry constraints is concerned, as a scientifically symmetry
problem, the global synthesis for antenna arrays that produce the desired radiation pattern is …

Traffic congestion in the urban area has become a serious social problem. In order to
alleviate congestion and reduce economic costs, it is important to predict the current and …

Traffic flow prediction is very important for city construction. Time and space factors have a
great impact on traffic flow, Traditional traffic prediction methods can only capture temporal …

The Internet of Things (IoT) has started to make a real impact with many IoT-based services
in agriculture, smart farming, smart cities, personal health, and critical infrastructures …

It has been previously shown that the traffic control problem can be formulated as a Linear
Programming (LP) problem when the corresponding initial conditions are fixed while they …

Traffic flow forecasting is important for urban planning and road network recommendation.
Traffic flow is affected by time and space which makes the traffic forecasting difficult, so traffic …

The paper studies macroscopic traffic flow modeling and its verification analysis of urban
expressway main line and its ramp. Firstly, the paper compares the Isotropic dynamic …