Titlebook: Computational Intelligence for Traffic and Mobility; Wuhong Wang,Geert Wets Book 2013 Atlantis Press 2013 Computational Intelligence.Intel

Basilar-Artery

Quantitative Risk Assessment for Traffic and Mobility Safety,ITA) including the incident tree model and the incident tree analysis as well as their applications into traffic behaviour measurement and safety control, in which characterizes the information flow in a system instead of logical relationship, and the amount of information of a fuzzy incident instea

creatine-kinase

Investigating the Progress towards Sustainable Road Transport in Europe: Lessons Learned from a DEAs on environment and society. To achieve sustainable development, there is a growing need for a country to assess its undesirable costs so as to determine its road transport policy. In this study, total energy consumption, greenhouse gase missions, as well as safety issues in European road transport

發(fā)出眩目光芒

窩轉(zhuǎn)脊椎動(dòng)物

Applications of Multi-Source Traffic Data on Mobility Analysis for Urban Road Network,ligent transportation system (ITS) applications usually contains useful information about operation of road network from different dimensions, and the combination and fusion analysis of them can provide more reliable and comprehensive information for the analysis and evaluation of road network perfo

largesse

Practical Methods in Traffic Demand Forecasting Model,recasting error in the traditional four-step approach. In this chapter, two of the new methods, disaggregate model and entropy model were introduced in order to solve this problem. The methods of disaggregate model and entropy model have been introduced in the first part of the chapter, following wi

MUMP

飛鏢

Institution

The Relationship between Driver Fatigue and Monotonous Road Environment,is applied to assess the monotony of the road environment. Furthermore, the changing pattern of driver fatigue under different levels of monotony of the road environment, which can be reflected by different stimulation densities, is exhibited. In this study, the relationship between driver fatigue a

GUILE

Intersect

A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models,In order to verify the efficiency of SVMs, other methods such as LDA (Linear Discriminant Analysis) and PNN (Probabilistic Neural Network) are also used to process the same data imputation problem. Compared with accuracies obtained by SVMs, the accuracies obtained by LDA and PNN are lower. The initi