Smart Transportation Systems 2021 Proceedings of 4th KES-STS International Symposium / [electronic resource] :
edited by Xiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain.
- 1st ed. 2021.
- X, 182 p. 37 illus., 30 illus. in color. online resource.
- Smart Innovation, Systems and Technologies, 231 2190-3026 ; .
- Smart Innovation, Systems and Technologies, 231 .
Scheduling Shore Power Usage at Port -- Security Analysis using Deep Learning in IoT and Intelligent Transport System -- Drone-Based Image Processing for Construction Site Safety, Transportation, and Progress Management -- Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression TsetlinMachine. Case Study of Agder, Norway -- Travel time reliability analysis of arterial road based on Burr distribution -- Optimal Vehicle Performance Parameters selection for Electric Bus Routes -- Evaluation and optimization of driver’s training methodsin view of public awareness -- Optimization of pure electric bus scheduling based on immune optimization algorithm.
This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2021). 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 modelling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
9789811623240
10.1007/978-981-16-2324-0 doi
Transportation engineering.
Traffic engineering.
Engineering—Data processing.
Artificial intelligence.
Transportation Technology and Traffic Engineering.
Data Engineering.
Artificial Intelligence.
TA1001-1280 HE331-380
629.04
Scheduling Shore Power Usage at Port -- Security Analysis using Deep Learning in IoT and Intelligent Transport System -- Drone-Based Image Processing for Construction Site Safety, Transportation, and Progress Management -- Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression TsetlinMachine. Case Study of Agder, Norway -- Travel time reliability analysis of arterial road based on Burr distribution -- Optimal Vehicle Performance Parameters selection for Electric Bus Routes -- Evaluation and optimization of driver’s training methodsin view of public awareness -- Optimization of pure electric bus scheduling based on immune optimization algorithm.
This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2021). 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 modelling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
9789811623240
10.1007/978-981-16-2324-0 doi
Transportation engineering.
Traffic engineering.
Engineering—Data processing.
Artificial intelligence.
Transportation Technology and Traffic Engineering.
Data Engineering.
Artificial Intelligence.
TA1001-1280 HE331-380
629.04