• Complain

Loveleen Gaur - Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications

Here you can read online Loveleen Gaur - Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: Springer, genre: Romance novel. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Loveleen Gaur Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications
  • Book:
    Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications
  • Author:
  • Publisher:
    Springer
  • Genre:
  • Year:
    2022
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Transportation typically entails crucial life-death choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.

Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.

The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Loveleen Gaur: author's other books


Who wrote Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications? Find out the surname, the name of the author of the book and a list of all author's works by series.

Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Contents
Landmarks
Book cover of Explainable Artificial Intelligence for Intelligent - photo 1
Book cover of Explainable Artificial Intelligence for Intelligent Transportation Systems
Loveleen Gaur and Biswa Mohan Sahoo
Explainable Artificial Intelligence for Intelligent Transportation Systems
Ethics and Applications
The Springer logo Loveleen Gaur Amity International Business School - photo 2

The Springer logo.

Loveleen Gaur
Amity International Business School, Amity University, Noida, India
Biswa Mohan Sahoo
School of Computing and IT, Manipal University Jaipur, Jaipur, India
ISBN 978-3-031-09643-3 e-ISBN 978-3-031-09644-0
https://doi.org/10.1007/978-3-031-09644-0
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

This book is dedicated to our respective family, friends, students, and all those who have inspired us directly and indirectly.

Preface

Explainable artificial intelligence (AI) lies at the core of many activity sectors that have embraced new information technologies. Although the origins of AI can be traced back many decades, there is widespread agreement that intelligent systems with understanding, logic, and adaptation capabilities are of utmost importance today. AI approaches are reaching unparalleled levels of success while learning to solve exponentially complex computational challenges because of these capabilities, rendering them crucial for the future growth of human society. The complexity of AI-powered systems has recently improved to the point that their architecture and implementation involve virtually no human involvement. Transportation typically entails crucial life-death choices, and delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In intelligence transportation system (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. The book discusses and informs researchers on explainable intelligent transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Loveleen Gaur
Biswa Mohan Sahoo
Acknowledgments

Nothing is more important and urgent than giving thanks. Many individuals have provided their valuable suggestions and criticism, which helped publish the first edition. We appreciate the efforts of those individuals who provided a formal review of the books first edition.

I am also grateful to Springer for showing confidence in our work. Without their help, the creation of this book would not have been possible.

Also, we would like to acknowledge with gratitude the support and love of our family and, finally, our gratitude to the divine power and HIS blessings.

Loveleen Gaur
Biswa Mohan Sahoo
Abbreviations
ACC

Adaptative Cruise Control

ACO

Ant Colony Optimization

ADAS

Advanced Driver Assistance System

AI

Artificial Intelligence

ANN

Artificial Neural Network

ANPR

Automatic Number Plate Recognition System

APB HD

Heavy-Duty Automated Parking Brake

APPs

Application Programming Interfaces

APTS

Advanced Public Transportation System

ATID

Advanced Traveler Information System

ATMS

Advanced Transportation Management System

ATPS

Advanced Transportation Pricing System

AVL

Automatic Vehicle Location

CA

Cellular Automata

CAI

Cornell Aeronautical Laboratory

CCC

Common Control Channel

CH

Cluster Head

CNN

Convolutional Neural Network

CRM

Customer Relationship Management

CVS

Co-operative Vehicle System

DAS

Driver Assistance Systems

DL

Deep Learning

DNN

Deep Neural Networks

DoS

Denial-of-Service

EBEESU

ElectriBio-Inspired Energy-Efficient Self-Organization Model

EER-SHO

Energy-Efficient Routing Spotted Hyena Optimizer

ETS

Electronic Ticketing System

EUGDPR

European Unions General Data Protection Regulation

FMCW

Frequency Modulated Continuous Wave

GA

Genetic Algorithm

GHG

Greenhouse Gas

GPS

Global Positioning System

HACA

Hybrid Ant Colony Algorithm

HiTsec

Hierarchical Trust-based Secure Clustering

ICT

Information Communications Technology

IoT

Internet of Things

ITS

Intelligent Transportation Systems

KNN

K Neural Networks

LDWS

Lane Departure Warning System

LPR

License Plate Recognition

MDA

Mean Decrease Accuracy

MIE

Mean Increase Error

ML

Machine Learning

MLP

Multi-layer Perceptron classifier

NDP

Network Design Problem

NISMOD

National Infrastructure Systems Model

NN

Neural Networks

OBD

Onboard Diagnostics

PLADS

Parachute Low Altitude Delivery System

PNN

Probabilistic Neural Network

PSO

Particle Swarm Optimization

RL

Reinforcement Learning

RNN

Recurrent Neural Network

RSU

Roadside Units

SAE

Society of Automotive Engineers

SHAP

Shapley Additive Explanation

SHO

Spotted Hyena Optimizer

SP

Schedule Planning

STEL

Simplified Tree Ensemble Learner

SVC

Support Vector Clustering

SVM

Support Vector Machine

TP

Technological Partner

TTI

Traffic and Travel Information

UAV

Unmanned Aerial Vehicles

V2I

Vehicle-to-Infrastructure

V2V

Vehicle-to-Vehicle

VANET

Vehicular Ad hoc Networks

WSN

Wireless Sensor Networks

XAI

Explainable Artificial Intelligence

Contents
List of Figures
List of Tables
About the Authors
Loveleen Gaur

is currently working as a professor and program director of artificial intelligence and data analytics at Amity International Business School, Amity University, India. She has more than 20 years of teaching, research, and administrative experience internationally. She is heading MBA program in artificial intelligence and data analytics at Amity International Business School. She is supervising a number of PhD scholars and postgraduate students mainly in artificial intelligence and data analytics for business and management. Under her guidance, the AI/data analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications»

Look at similar books to Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications»

Discussion, reviews of the book Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.