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Intelligent Infrastructure in Transportation and Management, 1st ed. 2022 Proceedings of i-TRAM 2021 Studies in Infrastructure and Control Series

Langue : Anglais
Couverture de l’ouvrage Intelligent Infrastructure in Transportation and Management
This book mainly focuses on the innovations in intelligent transportation infrastructure and management. The content of the book is selected in such a way that it will cover a wide range of areas to integrate advanced technologies and provide best and innovative solution to problems faced by the rapidly growing transportation sector. The topics of the book primarily address the needs of the students in civil, electrical, and mechanical engineering. It is equally useful as reference material for innovators, inventors, practitioners, and policymaker for an innovative and classified solution in the field of transportation and infrastructure management. Looking at the global electric and hybrid vehicles market, the book focuses on and discuss recent developments in electric mobility across the globe. In this edition, we try to feature toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industryexperts, and policymakers to consider the solutions into the practice.

Data Driven Approach for Modeling the Mixed Traffic Conditions Using Supervised Machine Learning.- Microscopic traffic simulation approach to evaluate driving parameters at influence zone of the intersection.- Calibrating and Validation of Microsimulation Model for Indian Heterogeneous Traffic Flow - A Case Study.- Driver's Risk Compelling Behavior for Crossing Conflict Area at Three-legged Uncontrolled Intersection.- Analysis Of Driver Behaviour In Dilemma Zone At Signalized Intersection Under Mixed Traffic Condition.- Evaluation of Road Side Friction and Its Effect on Reduction of Capacity of Urban Arterial Roads of Some Selected Towns.- Public Transport User's Satisfaction Level in India.- Real-Time Bus Prediction System in City Transport.- Customer's Perception towards Taxi Management in Kathmandu Valley.- Road crash severity ranking by applying A Multi-criteria decision-making tool: Analytical Hierarchy Process (AHP).- Digital Eye for Visually Impaired – DEVI.- A Review on Strategic Pavement Maintenance with Machine Learning Techniques.- Intelligent Vehicle Module Using Image Processing.- Opportunistic Sensing based Route Demand Assessment and Feeder Bus Scheduling.

Dr. Jiten Shah is an assistant professor in the Department of Civil Engineering, IITRAM, Ahmedabad. He is also a coordinator of Student Start-up Innovation Policy (SSIP), incubation cell at the IITRAM. . He completed his Ph.D. research in the Transportation Engineering Planning Division, Department of Civil Engineering, SVNIT Surat. 

His research interest includes vehicular and human behavior, transportation planning, traffic facility design, and traffic flow modelling including non-motorized traffic. He has guided seven M.Tech thesis. He was involved various consultancy work like in intersection design, road safety audit, etc. He has several publications to his credit in reputed international and national journals. He is a recipient of the gold medal from the Gujarat Institute of Civil Engineers and Architects (GICEA). He is a reviewer for the journals such as Transportation Letters, Taylor & Francis, Journal of Traffic and Transportation Engineering, Transportation Research Record, TRB, World Review of Intermodal Transportation Research. He is also a member of renowned society/institute including Transportation Research Group of India (TRG), Institute of Urban Transportation (India), and the Institute of Engineers (India). 

Dr. Shriniwas S. Arkatkar is currently working as an ‘associate professor’ in the Department of Civil Engineering at SVNIT Surat. Recently, he also holds a position of ‘adjunct professor’ at the Department of Civil Engineering, Ryerson university, Ontario, Canada. He is actively involved in teaching, research and consultancy with a specialization in different areas of transportation engineering. He completed his Ph.D. research in the Transportation Engineering Division, Department of Civil Engineering, IIT Madras. 

Dr. Arkatkar's research interests are: (i) Traffic Flow Modelling and Simulation, (ii) Traffic Operation and Management, Data Collection using new

Presents research works in the field of intelligent infrastructure in transportation and management Gather the outcomes of the i-TRAM 2021, held in Ahmedabad, India Offers a reference guide for researchers and practitioners in academia and industry

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Date de parution :

Ouvrage de 296 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

232,09 €

Ajouter au panier