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Transformation of Transportation

Title
Transformation of Transportation [electronic resource] / edited by Marjana Petrović, Luka Novačko.
ISBN
9783030664640
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (X, 226 p.) 84 illus., 72 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book features original scientific manuscripts submitted for publication at the International Conference - The Science and Development of Transport (ZIRP 2020), organized by University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, and held in Šibenik, Croatia, from 29th to 30th September 2020. The conference brought together scientists and practitioners to share innovative solutions available to everyone. Presenting the latest scientific research, case studies and best practices in the fields of transport and logistics, the book covers topics such as sustainable urban mobility and logistics, safety and policy, data science, process automation, and inventory forecasting, improving competitiveness in the transport and logistics services market and increasing customer satisfaction. The book is of interest to experienced researchers and professionals as well as Ph.D. students in the fields of transport and logistics.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 03, 2021
Series
EcoProduction, Environmental Issues in Logistics and Manufacturing,
EcoProduction, Environmental Issues in Logistics and Manufacturing,
Contents
Effect of Different Stop Sign Configurations on Driving Speed When Approaching A Rural Intersection at Night-Time
Traffic Flow Simulators With Connected and Autonomous Vehicles: A Short Review
Application of Dimensionless Method to Estimate Traffic Delays at Stop-Controlled T-Intersections
In-depth evaluation of reinforcement learning based adaptive traffic signal control using TSCLAB
Discrete Simulation Model for Urban Passenger Terminals.
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