The operation of smart subways brings data science and engineering together. In turn, smart metro stations based on holographic perception of the station, terminal platform control, and highly-autonomous operation, require expertise in both engineering and artificial intelligence. Smart Metro Station Systems introduces the key technologies of data science and engineering for smart metro station systems. The book consists in three main parts, focusing in turn on environment, people, and energy. Each chapter gives a series of practical applications. Having introduced smart metro stations, ten chapters present metro traffic flow monitoring and passenger guidance; methods for behavior analysis and trajectory projection; clustering and anomaly detection in crowd hotspots; monitoring and prediction for station humidity; monitoring and spatial prediction for air pollutants; time series feature extraction and analysis of metro load; characteristic and correlation analysis of metro load, and; prediction and intelligent ventilation control. This volume offers a key reference for an emerging area — smart metro stations — of use to those working on smart railways, data science, engineering, artificial intelligence, and aligned fields. Presents the core technologies of data science and engineering relevant to smart metro station systems Describes systems based on holographic perception, terminal platform control, and highly-autonomous operation Gives a large number of practical case studies and experimental designs Introduces state-of-the-art machine learning and data mining methods for smart metro station systems Offers a comprehensive and up-to-date research solution for the emerging area of smart metro stations
Smart Metro Station Systems: Data Science and Engineering
Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety Wuhong Wang, ... analyze the Internet data and the ridership data, in order to form a dataset with the attributes of metro stations.
This book considers gender perspectives on the ‘smart’ turn in urban and transport planning to effect-ively provide ‘mobility for all’ while simultaneously attending to the goal of creating green and inclusive cities.
Journal of Intelligent & Fuzzy Systems 2015, 29(6),2689-2696. Demand-Responsive Feeder Transit Service Design with Fuzzy Travel Demand Abstract: 80 Optimization and Design Method of Feeder Bus System (Metro Station, Airport)
In other words, the person using peer-to-peer software in an illicit manner by making works available to the public and sharing ... indicating illegal activity, this would cause a serious ''chilling effect'' on Internet communications.
As a rule, the signal reflected from the target and arriving at the input of the radar receiving module is written in the form: u(t, R) = s(t − τ(t)), (4) where the time delay τ(t) of propagation of a radio signal in an environment ...
This new text shows how public transport is being integrated into the urban environment, what innovatory systems are being developed worldwide and how the city of the future and society might evolve without dependence on the car.
Byahut, S., Patel, B., Mehta, J.: Emergence of sub-optimal land utilization patterns in Indian cities. ... Solving Urban Infrastructure Problems Using Smart City Technologies: Handbook on Planning, Design, Development, and Regulation, ...
By Elevated walkway, every building will be directly connected to the metro station. The term smart transportation system refers to information and communication technology, which makes the systems smart and offers better services to ...
Incorporates More Than 25 Years of Research and ExperienceRailway Transportation Systems: Design, Construction and Operation presents a comprehensive overview of railway passenger and freight transport systems, from design through to ...