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Nodes in Transport Networks – Research, Data Analysis and Modelling = 16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Nodes in Transport Networks – Research, Data Analysis and Modelling/ edited by Elżbieta Macioszek, Nan Kang, Grzegorz Sierpiński.
其他題名:	16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers /
其他作者:	Sierpiński, Grzegorz.
面頁冊數:	XII, 199 p. 103 illus., 61 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-39109-6
ISBN:	9783030391096

Nodes in Transport Networks – Research, Data Analysis and Modelling = 16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers /
Nodes in Transport Networks – Research, Data Analysis and Modelling16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers /[electronic resource] :edited by Elżbieta Macioszek, Nan Kang, Grzegorz Sierpiński. - 1st ed. 2020. - XII, 199 p. 103 illus., 61 illus. in color.online resource. - Lecture Notes in Intelligent Transportation and Infrastructure,2523-3440. - Lecture Notes in Intelligent Transportation and Infrastructure,.

The publication delivers numerous valuable guidelines, particularly useful when making decisions related in the subject matter to road and rail nodes located in dense transport networks. The know-how displayed while discussing practical examples as well as the decision making support systems described in the publication will certainly attract the interest of those who daily face the challenge of seeking solutions to the operational and functional problems of transport nodes in contemporary transport networks and systems. This publication is dedicated to local authorities involved in planning and preparation of development strategies for specific transport-related issues (in both urban and regional areas) as well as to representatives of business and industry, being those who participate directly in the implementation of traffic engineering solutions. The guidelines provided in individual chapters of the publication will make it possible to address the given problem in an advanced manner and simplify the choice of appropriate strategies (including those related to synchronisation of road traffic streams, improving the capacity, road traffic safety analysis, evaluation of changes in drivers’ behaviour on account of introducing countdown timers at signal-controlled intersections using UAV data, the influence of the type of traffic organisation on the behaviour of pedestrians at tram line crossings). On the other hand, since the publication also concerns the new approach to theoretical models (including potential places of integration of public transport with the railway network or the speed adviser for pedestrians enabling them to choose the optimal path at signal-controlled intersections), it should also attract the attention of researches and scientists studying this body of problems. The publication entitled "Nodes in transport networks - research, data analysis and modelling" contains selected papers submitted to and presented at the 16th ”Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 16-18 September 2019 in Katowice (Poland). .

ISBN: 9783030391096

Standard No.: 10.1007/978-3-030-39109-6doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Nodes in Transport Networks – Research, Data Analysis and Modelling = 16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers /
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