Artificial Intelligent Public Transport Tool Development
DOWNLOAD
Download Artificial Intelligent Public Transport Tool Development PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligent Public Transport Tool Development book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligent Public Transport Tool Development
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2021-07-02
Artificial Intelligent Public Transport Tool Development written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-02 with categories.
Supposing driving consumers believe (AI) machine learning ability is worse to compare to human learning ability. It will also influence driving consumers do not accept to use any (AI) non-manual auto driving vehicles to replace every driver is essential on driving by himself/herself on the road. The third idea or reason is that it is important to influence driving customers believe how (AI) non-manual auto driving technology is used in them can both overcome and exploit human driving skill and safe limits and raise more auto driving safe judgement to compare human driving safe judgement. However, how to predict any kinds of (AI) non-manual driving vehicles future consumption effort, due to different kinds of (AI) non-manual driving transportation vehicles which have different unique functions and designs to be used by different kinds of road transportation or driving demand of consumers. For example, lorry drivers need non-manual intelligent system can help them to drive fast, but safe to assist them to transport cargo to arrive destinations from their factories or offices. Otherwise, private car driver expects whose (AI) non-manual driving vehicle can auto drive to send to whom to arrive destination in safe way and non-too fast and non-too slow speed in order to avoid accident occurrences. So, a different road intelligent consumer demand is to define whose individual driving behavior and driving habit and driving attitude and driving judgement and driving speed demand to decide how to design whose intelligent vehicle to satisfy those driving demand more generally, as simply being open-minded about what variables are likely to influence every consumer economic choice, when who decide either to buy any kinds of (AI) products or not to buy any kinds of (AI) products to replace the different demand of consumers their different (AI) useful demand. Hence, for these three (AI) products group of stakeholders, such as home (AI) consumer group, firm (AI) consumer group and government (AI) consumer group . These consumer groups may consider whether different kinds of (AI) products can give what is special beneficial interest to them to use. These variables can be measurable properties of choices to influence them to choose to buy any (AI) kinds of (AI) products to use, e.g. psychophysiological, biological, social influences, consumer's wealth, moods and personality, (AI) product price etc. variable factors which will influence them to decide to attempt to buy any kinds of (AI) products to use. If behavioral economics is as open-mindedness about what variables might predict. Then , (AI) machine learning system is a way to do behavioral economics because it can make use of a wide set of variables and select- which ones predict.
Artificial Intelligent Public Transportation Market Development
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-07-03
Artificial Intelligent Public Transportation Market Development written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-03 with categories.
Introduction This book brings readers to image what will be different if artificial intelligent non manual driving vehicle will be used to public transportation and private transportation both aspects in popular. Does the non-manual driving public transportation tools replace human driving public transportation? Will it popular to accept to use any artificial intelligent vehicles? Is it possible to apply AI non-manual driving technology to AI non-manual driving transportation tools global transportation market? For example, in (AI) non-manual vehicle industry, driving automatic vehicle whether it will be accepted to drivers who have confidence to drive it on roads safely. Whether artificial (AI) intelligent non-manual driving systems are the improvement of traffic safety, reduction of energy consumption or improvement of the comfort of the driver. Whether will it be popular to accept to apply artificial intelligent non-manual driving technology from non-manual auto driving cars to be applied to any non-manual auto driving transportation tools transportation market development, such as train, tram, lorry, transportation air plane, passenger air plane, ferry, taxi, MTR. Etc. different kinds of transportation tools? If future human accepts to use any non-manual driving vehicles or non-manual driving transportation tools, what advantages and disadvantages will bring to influence our daily life. How if (AI) non-manual auto driving technology stage is mature to achieve non-manual driving technology is safe driving. It is possible that (AI) non-manual driving cars can influence to change whole manual driving transportation tools to non-manual driving transportation tools. How it will influence (AI) autonomous cars change to influence global manual driving transportation industry development ? To achieve non-manual driving industry development success. (AI) non-manual driving vehicle manufacturers need to ensure (AI) driving system is more safe to drive to compare manual driving on the road. If they expect non-manual driving transportation market development success. So, self improving systems are a promising new approach to developing artificial intelligence. But will their behavior be predictable? Can will be sure that they will behave as we intended even after many generations of self improvement? This book can present a framework for answering any questions concern whether future non-manual driving transportation market will be possible success.
Artificial Intelligent In Transportation Market Research
DOWNLOAD
Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2018-05-06
Artificial Intelligent In Transportation Market Research written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-06 with categories.
Can artificial intelligence (AI) and machine learning (ML) be used in the search for new " consumption" behavioral type variables that affect consumer individual or transportation service organization individual different transportation tools choices, such as road or sea or sky transportation tools? Can artificial intelligent vehicle may interact intelligent transportation tools market development?
Future Non Manual Driving Public Transport
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2021-07
Future Non Manual Driving Public Transport written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07 with categories.
Artificial intelligent public transport how influences passenger psychology How technology influence passenger psychology Nowadays, robotic invention can be applied to factory manufacture, hotel, restaurant, shopping center, customer service, accounting, law document draft etc. general office tasks aspect, evem hospital surgen patient medical operation health service aspects. If future robotic non -manual driving vehicles can be invented to reach the safe auto driving mature skill stage. Any one driver begins to believe robotic, driving safe level is bette than he/she drives himself/herself car. I assume that if future robotic public transport tool drivers can replace human public transport tool drivers to drive bus, taxi, train, tram, ferry, underground train, tram , even air plane ets. different kinds of public transport tools. How non maual driving public transport tools influence our social change either to improve better ot worse? How non manual driving public transport tools influence passenger psychology, e.g. increasing any kinds of public transport tools passengers safe feeling to choose to catch any kinds of public transport tools to go to anywhere or feeling more dangerous when the passenger himself/herself chooses to sit the non manual driving public transport tool. In past, traditional public transport tools are driven by human drivers, if one day non manual driving skills are invented to reach the most safe level, when the car owner or passenger is sitting on the non manual driving vehicle or public transport tool, the artificial intelligent driver can help the driver to control the car wheel to avoid to crash any other cars or pedestrians to o to any far places on the roads easily. The public bus does not human driver to drive the bus, artificial intelligent driver won't feel tried, when it drives the bus long time, it does not need to leave the bus to go to toilet, to go to restaurant to eat, to go to rest room for rest, because it is one (AI) machine. So, the (AI) driver won't have negative emotion to feel angry when the bus passenger complaints its service is poor when he feels dissatisfactory to the (AI) driver bus service performance. However, human bus driver may be complaint for rude bus service attitude. It is common human bus driver will encounter any unreasonable passenger complain in general . Hence, when non manual driving technology can be invented to reach the most safe driving skill level, whether (AI) machine driver is the most suitable to replace any public transport tool drivers, such as bus, taxi, train, underground train, ferry, tram, even air plane to drive for future passengers service need.
Artificial Intelligence Applications To Traffic Engineering
DOWNLOAD
Author : Maurizio Bielli
language : en
Publisher: VSP
Release Date : 1994-05
Artificial Intelligence Applications To Traffic Engineering written by Maurizio Bielli and has been published by VSP this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05 with Technology & Engineering categories.
In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI
Handbook On Artificial Intelligence And Transport
DOWNLOAD
Author : Hussein Dia
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-10-06
Handbook On Artificial Intelligence And Transport written by Hussein Dia and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.
Prediction Artificial Intelligent Travel Health Education Transportation Space Exploration
DOWNLOAD
Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2018-08-20
Prediction Artificial Intelligent Travel Health Education Transportation Space Exploration written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-20 with Technology & Engineering categories.
In this fourth part, This part brings readers to image what will be different if artificial intelligent non manual driving vehicle will be used to public transportation and private transportation both aspects in popular. I shall explain why AI safety system will be successful factor to influence future non-manual transportation successful development. Will it popular to accept to use any artificial intelligent vehicles? Is it possible to apply AI non-manual driving technology to AI non-manual driving transportation tools global transportation market? For example, in (AI) non-manual vehicle industry, driving automatic vehicle whether it will be accepted to drivers who have confidence to drive it on roads safely. Whether artificial (AI) intelligent non-manual driving systems are the improvement of traffic safety, reduction of energy consumption or improvement of the comfort of the driver. Whether will it be popular to accept to apply artificial intelligent non-manual driving technology from non-manual auto driving cars to be applied to any non-manual auto driving transportation tools transportation market development, such as train, tram, lorry, transportation air plane, passenger air plane, ferry, taxi, MTR. Etc. different kinds of transportation tools? If future human accepts to use any non-manual driving vehicles or non-manual driving transportation tools, what advantages and disadvantages will bring to influence our daily life. How if (AI) non-manual auto driving technology stage is mature to achieve non-manual driving technology is safe driving. It is possible that (AI) non-manual driving cars can influence to change whole manual driving transportation tools to non-manual driving transportation tools. How it will influence (AI) autonomous cars change to influence global manual driving transportation industry development ? To achieve non-manual driving industry development success. (AI) non-manual driving vehicle manufacturers need to ensure (AI) driving system is more safe to drive to compare manual driving on the road. If they expect non-manual driving transportation market development success. So, self improving systems are a promising new approach to developing artificial intelligence. But will their behavior be predictable? Can will be sure that they will behave as we intended even after many generations of self improvement? This part can present a framework for answering any questions concern whether future non-manual driving transportation market will be possible success. In fifth part, I shall explain how to apply (AI) tool to attempt to predict consumer behavior in travelling industry, this part has these two research questions need to be answered? (1) Can apply (AI) learning machine predict travelling consumer behavior? (2) Can (AI) big data gathering learning machine be replaced to human travelling marketing research method, e.g. survey or traveler psychological and travelling marketing research or travelling environment micro and macro economic human judgement of traveler consumption behavior prediction methods to predict travelling consumer behaviors more accurate? Nowadays, many airline firms or travelling agents hope to apply different methods to predict travelling consumer behaviors in order to know what will be future next month, even next year travelling market destination choice and travelling package design preferable choice activities and travelling consumers travelling packages or travelling destination taste changes to help them to choose to implement what kinds of travelling marketing strategies or what are travelling packages or airline ticket prices more reasonable or more accurate range price level to attract travelers choose to the airline or travel agent to buy paper or e- ticket or help them to arrange travel package more attractive.
Research Future Public Transport Market Needs
DOWNLOAD
Author : John Lok
language : en
Publisher:
Release Date : 2022-04-29
Research Future Public Transport Market Needs written by John Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-29 with categories.
This road transport part brings readers to image what will be different if artificial intelligent non manual driving vehicle will be used to public transportation and private transportation both aspects in popular. Will it popular to accept to use any artificial intelligent vehicles? Is it possible to apply AI non-manual driving technology to AI non-manual driving transportation tools global transportation market? For example, in (AI) non-manual vehicle industry, driving automatic vehicle whether it will be accepted to drivers who have confidence to drive it on roads safely. Whether artificial (AI) intelligent non-manual driving systems are the improvement of traffic safety, reduction of energy consumption or improvement of the comfort of the driver. Whether will it be popular to accept to apply artificial intelligent non-manual driving technology from non-manual auto driving cars to be applied to any non-manual auto driving transportation tools transportation market development, such as train, tram, lorry, transportation air plane, passenger air plane, ferry, taxi, MTR. Etc. different kinds of transportation tools? If future human accepts to use any non-manual driving vehicles or non-manual driving transportation tools, what advantages and disadvantages will bring to influence our daily life.
Introduction To Intelligent Systems In Traffic And Transportation
DOWNLOAD
Author : Ana L.C. Rosenfeld
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Introduction To Intelligent Systems In Traffic And Transportation written by Ana L.C. Rosenfeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.
Intelligent Road Transport Systems
DOWNLOAD
Author : Yunpeng WANG
language : en
Publisher: Springer Nature
Release Date : 2022-05-17
Intelligent Road Transport Systems written by Yunpeng WANG and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Computers categories.
In recent years, the application of intelligent transportation systems (ITS) has steadily expanded, and has become a hot spot of common interest to universities, scientific research institutes, enterprises and institutions in the transportation field. ITS is the product of the deep integration of modern high-tech in the transportation industry, and its development has accompanied that of modern high-tech. ITS is now also becoming part of the Internet of Things (IoT), and is expected to contribute significantly to making our cities smarter and connecting with other infrastructure. Although there are many monographs and textbooks on intelligent transportation, with the advancement of technology and changes in demand, the key technologies of ITS are also rapidly changing. This book chiefly focuses on the main technologies of ITS, examining them from four perspectives: “sense” (perception and management of traffic information, chapters 2 & 3), “transmission” (interaction of traffic information, chapter 4), “prediction” (prediction of traffic states, chapter 6) and “application” (intelligent transportation applications, chapters 6 through 10). Given its scope, the book can be used as a textbook for undergraduates or graduates, as well as a reference book for research institutes and enterprises. This book emphasizes the use of basis traffic engineering principles and state-of-art methodologies to develop functional designs. It largely reflects the authors’ own experience in adapting these methodologies to ITS design. For example, the book addresses various forms of data collection, models used to predict and evaluate traffic states, comprehensive description in connected vehicles, applications for users and traffic managers, etc. The knowledge gained here will allow designers to estimate the performance differences among alternatives and gauge their potential benefits for functional design purposes. To gain the most from the book, readers should be somewhat familiar with the field of traffic engineering and interested in ITS.