The next several years will see an acceleration of the adoption of intelligent driving aid devices. Studying the impact of such devices on the overall traffic performance and safety requires highly realistic microscopic traffic simulation models, which account not only for the overall traffic flow, but also for the details and variability of the individual driver’s behavior. In this paper, we f...

A mobile infostation network stipulates all transmissions to occur when nodes are in proximity. In this paper, we evaluate the effect of mobility on highway mobile infostation networks. Each node enters a highway section at a Poisson rate with a constant speed drawn from a known but arbitrary distribution. Both forward and backward traffic are considered. For node speed that is uniformly distri...

The rapid advancement of urban transportation in modern China has driven economic developments. However, the progressively congested traffic conditions have affected productivity and daily life people. To mitigate congestion problem, necessary road designs should be implemented along highways, for example highway interchanges. application interchanges past cases proven to effectively avoid flow...

The characteristic of traffic flow on highway is analyzed in this paper firstly. According to Catastrophe Theory, the function of occupancy time and volume is established. Then a highway traffic incident detection method based on Lipschitz exponent is advanced by using Wavelet Theory, whose core is to judge the singular points of traffic flow accurately. When the value of Lipschitz exponent is ...

Deep learning has become very popular as a method to predict short-term traffic volumes on road networks, especially highway networks, based on real-time observation. Various studies have confirmed that the performance of deep learning in predicting traffic volumes is better than that of previous machine learning models and statistical models. Although it is natural to consider that the traffic...