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Titlebook: Smart Transportation and Green Mobility Safety; Traffic Safety Wuhong Wang,Hongwei Guo,Dongxian Sun Conference proceedings 2024 The Editor(

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书目名称Smart Transportation and Green Mobility Safety
副标题Traffic Safety
编辑Wuhong Wang,Hongwei Guo,Dongxian Sun
视频video
概述Promotes the development of green mobility and intelligent transportation technology.Features state-of-the-art studies on Green Intelligent Mobility Systems.Presents the findings of prominent experts
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Smart Transportation and Green Mobility Safety; Traffic Safety Wuhong Wang,Hongwei Guo,Dongxian Sun Conference proceedings 2024 The Editor(
描述.This book gathers selected papers from the 13th International Conference on Green Intelligent Transportation Systems and Safety, held in Qinghuadao, China, on September 16-18, 2022. It presents cutting-edge studies on Green Intelligent Mobility Systems, with the guiding motto being to achieve "green, intelligent, and safe transportation systems". The book presented here helps promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility, and efficiency. Given its scope, the book benefits researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. Readers will be able to learn about the advances in green intelligent transportation systems and safety..
出版日期Conference proceedings 2024
关键词Intelligent Transportation System; Connected Vehicle and Assistance System; Traffic Planning and Manag
版次1
doihttps://doi.org/10.1007/978-981-97-3052-0
isbn_softcover978-981-97-3054-4
isbn_ebook978-981-97-3052-0Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Traffic Flow Prediction Under Emergency Based on SVR Classification Regression,put forward a kind of classification based on support vector regression (SVR) forecasting model, considering the characteristics of accident impact the change trend of traffic flow, according to the severity of the accident emergency traffic accident can be divided into minor impact, major impact an
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Research on Expressway Lane Line Recognition Under the Condition of Projected Shadow Occlusion,ation-independent graph and improved Canny edge detection is proposed. According to the principle of light-independent map, the logarithmic chromaticity ratio space projection is performed on all pixels on the color image to obtain a light-independent map, which eliminates the interference of light
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Subway Tunnel Intrusion Detection Method Based on Lidar,l causes the low accuracy and short inspection distance based on the video inspection method, which hinders the development of tunnel inspection. Aiming at the problems, this paper proposes an intrusion detection method for subway tunnel based on lidar, which uses lidar to scan long-distance subway
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