Adoption of evolutionary techniques for traffic management can be seen in the work done by Liu et al. [47] and Vasilakos et al. [48], where the authors have discussed about adoption of bio-inspired techniques and fuzzy logic, respectively.
Although these traditional systems are proven techniques of collecting traffic data, they each also have some shortcomings.
Sahin [16] and Ghoseiri et al. [17] divided the techniques of railway traffic control techniques into three families: expert systems, simulations and mathematical programming.
Thus, the comprehensive analysis on the real-time crash risk on certain segments can be done for proactive safety management based on the emerging techniques of the traffic data and weather data.
This paper discusses the techniques and practices of traffic engineering in contemporary IP networks, emphasizing the role of MPLS in performance optimization of the public Internet.
It is an ambitious attempt to apply machine-learning techniques to the problem of traffic congestion.
The objective function includes different kinds of data collected with different types of techniques: simple traffic counts and speed measurements detected at fixed road sections and travel times measured on routes travelled, for example, by floating cars equipped with a GPS receiver and a cellular mobile transmitter.
In this paper, an innovative contention avoidance technique is proposed which uses combination of special traffic shaping at ingress switches and special time slot reservation technique through the path of traffic flows in core network.
In general, the statistical techniques used for the problem of traffic flow prediction can be classified as non parametric or parametric statistical techniques [3].
Nguyen [20] looked at research into the application of Machine Learning techniques to IP traffic classification.
Thus, the use of automated techniques for cellular traffic data analysis is essential to reduce human effort while expertise can be focused on new areas, bringing additional value to the operator [5].
