Smart Transportation Systems 2020  Proceedings of 3rd KES-STS International Symposium /  [electronic resource] : 
edited by Xiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain. 
 - 1st ed. 2020. 
 - X, 214 p. 64 illus., 50 illus. in color.  online resource. 
 - Smart Innovation, Systems and Technologies,  185  2190-3026 ; .
 - Smart Innovation, Systems and Technologies,  185 .
<br/><br/>A Decision Support System based on Transport Modelling for Events Management in Public Transport Networks -- Existing and Future Investigation of Charging Technology for Electric Bus -- Vehicle Scheduling Model for an Electric Bus Line -- Accessing the Influences of Weather and Environment Factors on Traffic Speed of Freeway -- Multivariate Time Series Analysis Using Recurrent Neural Network to Predict Bike Sharing Demand -- A Leader-based Vehicle Platoon Control Strategy at Signalized Intersections Considering Efficiency -- Real Time Data Processing in Autonomous Vehicles Based on Distributed Architecture: a Case Study -- Modelling the Relationships between Headway and Speed in Saturation Flow of Signalised Intersections -- Emission Evaluation of Marine Traffic. 
<br/><br/> This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2020). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics. 
<br/><br/><label>ISBN: </label>9789811552700 
<br/><br/><label>Standard No.: </label>10.1007/978-981-15-5270-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Transportation engineering.<br/>Traffic engineering.<br/>Engineering—Data processing.<br/>Artificial intelligence.<br/>Transportation Technology and Traffic Engineering.<br/>Data Engineering.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>TA1001-1280 HE331-380 
<br/><br/><label>Dewey Class. No.: </label>629.04