SYSTEM SIMULATION MODEL BASED ROAD ACCIDENTS AND ITS COST PREDICTION PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download SYSTEM SIMULATION MODEL BASED ROAD ACCIDENTS AND ITS COST PREDICTION PDF full book. Access full book title SYSTEM SIMULATION MODEL BASED ROAD ACCIDENTS AND ITS COST PREDICTION by Dr. K. NACHIMUTHU. Download full books in PDF and EPUB format.
Author: Dr. K. NACHIMUTHU
Publisher: Lulu.com
ISBN: 1365310949
Category : Education
Languages : en
Pages : 145
Get Book Here
Book Description
In India, the primary mode of transport is road transport which plays an important role in the conveyance of goods and passengers and linking the centers of production, consumption and distribution. It is also a key factor for promoting socio-economic development in terms of social, regional and national integration. The motor vehicle population is growing at a faster rate than the economic and population growth.
Author: Dr. K. NACHIMUTHU
Publisher: Lulu.com
ISBN: 1365310949
Category : Education
Languages : en
Pages : 145
Get Book Here
Book Description
In India, the primary mode of transport is road transport which plays an important role in the conveyance of goods and passengers and linking the centers of production, consumption and distribution. It is also a key factor for promoting socio-economic development in terms of social, regional and national integration. The motor vehicle population is growing at a faster rate than the economic and population growth.
Author: Vijayan Sugumaran
Publisher: Springer Nature
ISBN: 3031054849
Category : Technology & Engineering
Languages : en
Pages : 1132
Get Book Here
Book Description
This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.
Author: Yingmin Jia
Publisher: Springer
ISBN: 9811322910
Category : Technology & Engineering
Languages : en
Pages : 844
Get Book Here
Book Description
These proceedings present selected research papers from CISC’18, held in Wenzhou, China. The topics include Multi-Agent Systems, Networked Control Systems, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Nonlinear and Variable Structure Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles, and so on. Engineers and researchers from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.
Author: R. Sathiyaraj
Publisher: CRC Press
ISBN: 1000555909
Category : Computers
Languages : en
Pages : 145
Get Book Here
Book Description
The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.
Author: Sven A. Brueckner
Publisher: Springer Science & Business Media
ISBN: 3540333428
Category : Computers
Languages : en
Pages : 254
Get Book Here
Book Description
This book constitutes the refereed post-proceedings of the Third International Workshop on Engineering Self-Organising Applications, ESOA 2005, held in July 2005 as an associated event of AAMAS 2005. The 12 revised full papers and 6 revised short papers presented are organized in topical sections on novel self-organising mechanisms, methodologies, models and tools for self-organising applications, and specific applications of self-organising mechanisms.
Author: Limin Meng
Publisher: Springer
ISBN: 3030005577
Category : Computers
Languages : en
Pages : 675
Get Book Here
Book Description
This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018. The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Transportation Research Record contains the following papers: Incorporating crash risk in selecting congestion-mitigation strategies : Hampton Roads area (Virginia) case study (Garber, NJ and Subramanyan, S); Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections (Abdelwahab, HT and Abdel-Aty, MA); Transferability of models that estimate crashes as a function of access management (Miller, JS, Hoel, LA, Kim, S and Drummond, KP); Sensor-friendly vehicle and roadway cooperative safety systems : benefits estimation (Misener, JA, Thorpe, C, Ferlis, R, Hearne, R, Siegal, M and Perkowski, J); Interstate highway crash injuries during winter snow and nonsnow events (Khattak, AJ and Knapp, KK); Simulation of road crashes by use of systems dynamics (Mehmood, A, Saccamanno, F and Hellinga, B); Longitudinal analysis of fatal run-off-road crashes, 1975 to 1997 (McGinnis, RG, Davis, MJ and Hathaway, EA); Injury severity in multivehicle rear-end crashes (Khattack, AJ); Computing and interpreting accident rates for vehicle types driver groups (Hauer, E); Geographics information system-based accident data management for Mexican federal roads (Mendoza, A, Mayoral, EF, Vicente, JL and Quintero, FL); Bayesian identification of high-risk intersections for older drivers via gibbs sampling (Davis, GA and Yang, S); Automated accident detection system (Harlow, C and Wang, Y); Evaluation of inexpensive global positioning system units to improve crash location data (Graettinger, AJ, Rushing, TW and McFadden, J).
Author: Rajalakshmi Krishnamurthi
Publisher: Academic Press
ISBN: 0323907156
Category : Technology & Engineering
Languages : en
Pages : 456
Get Book Here
Book Description
Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs and scaling needs
Author: Hyung-Sup Jung
Publisher: MDPI
ISBN: 303921215X
Category : Technology & Engineering
Languages : en
Pages : 438
Get Book Here
Book Description
As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.
Author: Zaheer Allam
Publisher: Springer Nature
ISBN: 9819926955
Category : Political Science
Languages : en
Pages : 424
Get Book Here
Book Description
This book aims to explore how sustainability transitions can be explored in current and future cities and how research and policy approaches can be applied to change urban life as we know it, hence aligning the two thematic of urban science and future science, for achieving deep decarbonization. On this, the discourse on philosophy, ethics, and morality appertaining to sustainable cities and urban transitions, across disciplines, are also welcomed as it provides a deeper understanding of humanity in future scenarios. Chapter 08 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
