Computational Intelligence for Traffic and Mobility, 2013 Atlantis Computational Intelligence Systems Series, Vol. 8

Sequential Advanced Guide Signing For Work Zone Related Rerouting On Highways.- The Relationship between Driver Fatigue and Monotonous Road Environment.- Driving Situation Awareness in Transport Operations.- Container Drayage Operations at Intermodal Terminals.- Application of Genetic Algorithm to Optimize Transit Schedule under Time-Dependent Demand.- Validation of an Activity-Based Traffic Demand Model for Flanders.- Driver Behaviour in Conflict with Redcrossing Pedestrians.- Cellular Automaton Model and Simulation of Traffic and Mobility Operations.- A Data Imputation Method with Support Vector Machines.- VLSN Search Method Based Hubs Location and Service Frequency Determination.- Quantitative Risk Assessment for Traffic and Mobility Safety.- Investigating the Progress towards Sustainable Road Transport in Europe.- Modeling of Traffic Behavior in Traffic Safety.- Applications of Multi-Source Traffic Data on Mobility Analysis for Urban Road Network.- Practical Methods in Traffic Demand Forecasting Model.

This book should be most suitable to the senior undergraduate students and graduate students, and to those in computation intelligence system, traffic, transportation and mobility profession who need to solve problems on the analysis, design, plan, operation, control and management of traffic, transportation and mobility system by use of new theory, method of computation intelligence

The emphasis on this book will be placed on fundamental concepts and principles of theory, models and methods of computation intelligence studies, and analytical and computational skills of transportation and mobility system analysis and control

Numerous step-by-step tutorials help the reader to learn the book quickly

Includes supplementary material: sn.pub/extras