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Big data analytics for connected vehicles and smart cities / / Bob McQueen
| Big data analytics for connected vehicles and smart cities / / Bob McQueen |
| Autore | McQueen Bob |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , [2017] |
| Descrizione fisica | 1 online resource (xviii, 294 pages) : illustrations |
| Disciplina | 388.0285 |
| Collana | Artech House power engineering series |
| Soggetto topico |
Intelligent transportation systems
Transportation - Planning City planning - Technological innovations Big data |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-63081-474-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro; Big Data Analytics for Connected Vehicles and Smart Cities; Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 Informational Objectives of This Chapter; 1.3 Word Cloud; 1.4 Background; 1.5 Why This Subject and Why Now?; 1.6 Intended Readership Groups for the Book; 1.7 Overview of Contents; References; 2 What Is Big Data?; 2.1 Informational Objectives of This Chapter; 2.2 Chapter Word Cloud; 2.3 Introduction; 2.4 Questions Instead of Answers?; 2.5 Overview of the Questions; 2.6 Safety-Related Questions; 2.7 Efficiency-Related Questions; 2.8 User Experience-Related Questions.
2.9 What Do We Do with the QuestionsReferences; 3 What Is Big Data?; 3.1 Informational Objectives of This Chapter; 3.2 Word Cloud; 3.3 Introduction; 3.4 How Is Big Data Measured?; 3.5 What Is Big Data?; 3.6 Challenges; 3.7 Big Data in Transportation; 3.8 Transportation Systems Management and Operations; References; 4 Connected and Autonomous Vehicles; 4.1 Informational Objectives; 4.2 Word Cloud; 4.3 Introduction; 4.4 What Is a Connected Vehicle?; 4.5 Connected Vehicle Challenges; 4.6 What Is an Autonomous Vehicle?; 4.7 Autonomous Vehicle Challenges. 4.8 Summary of the Differences between Connected and Autonomous Vehicles4.8 Connected and Autonomous Vehicles within a Smart City; 4.9 The Likely Impact of the Connected and the Autonomous Vehicle on Transportation; 4.10 Big Data and Connectivity; 4.11 Connected and Autonomous Vehicles within a Smart City; 4.12 The Likely Effect of Connected and Autonomous Vehicles on the Automotive Industry; 4.12 Summary; References; 5 Smart Cities; 5.1 Informational Objectives; 5.2 Word Cloud; 5.3 Introduction; 5.4 What Is a Smart City?; 5.5 Smart City Objectives; 5.6 Steps Toward a Smart City. 5.7 Smart City Frameworks5.8 Evaluating the Effects of Investments; 5.9 Smart City Challenges; 5.10 Smart City Opportunities; 5.11 Lessons Learned from the London Congestion Charge Project; 5.12 The Sentient City; 5.13 Summary; References; 6 What Are Analytics?; 6.1 Informational Objectives; 6.2 Introduction; 6.3 Word Cloud; 6.4 What Is an Analytic?; 6.5 Why Analytics Are Valuable; 6.6 Smart City Services Analytics; 6.7 Analytical Performance Management for a Smart City; 6.8 How Do Analytics and Data Lakes Fit Together?; 6.9 How to Identify Data Needs Associated with Analytics?; 6.10 Summary. |
| Record Nr. | UNINA-9910466477103321 |
McQueen Bob
|
||
| Boston, Massachusetts : , : Artech House, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data analytics for connected vehicles and smart cities / / Bob McQueen
| Big data analytics for connected vehicles and smart cities / / Bob McQueen |
| Autore | McQueen Bob |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , [2017] |
| Descrizione fisica | 1 online resource (xviii, 294 pages) : illustrations |
| Disciplina | 388.0285 |
| Collana | Artech House power engineering series |
| Soggetto topico |
Intelligent transportation systems
Transportation - Planning City planning - Technological innovations Big data |
| ISBN |
1-5231-4613-3
1-63081-474-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro; Big Data Analytics for Connected Vehicles and Smart Cities; Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 Informational Objectives of This Chapter; 1.3 Word Cloud; 1.4 Background; 1.5 Why This Subject and Why Now?; 1.6 Intended Readership Groups for the Book; 1.7 Overview of Contents; References; 2 What Is Big Data?; 2.1 Informational Objectives of This Chapter; 2.2 Chapter Word Cloud; 2.3 Introduction; 2.4 Questions Instead of Answers?; 2.5 Overview of the Questions; 2.6 Safety-Related Questions; 2.7 Efficiency-Related Questions; 2.8 User Experience-Related Questions.
2.9 What Do We Do with the QuestionsReferences; 3 What Is Big Data?; 3.1 Informational Objectives of This Chapter; 3.2 Word Cloud; 3.3 Introduction; 3.4 How Is Big Data Measured?; 3.5 What Is Big Data?; 3.6 Challenges; 3.7 Big Data in Transportation; 3.8 Transportation Systems Management and Operations; References; 4 Connected and Autonomous Vehicles; 4.1 Informational Objectives; 4.2 Word Cloud; 4.3 Introduction; 4.4 What Is a Connected Vehicle?; 4.5 Connected Vehicle Challenges; 4.6 What Is an Autonomous Vehicle?; 4.7 Autonomous Vehicle Challenges. 4.8 Summary of the Differences between Connected and Autonomous Vehicles4.8 Connected and Autonomous Vehicles within a Smart City; 4.9 The Likely Impact of the Connected and the Autonomous Vehicle on Transportation; 4.10 Big Data and Connectivity; 4.11 Connected and Autonomous Vehicles within a Smart City; 4.12 The Likely Effect of Connected and Autonomous Vehicles on the Automotive Industry; 4.12 Summary; References; 5 Smart Cities; 5.1 Informational Objectives; 5.2 Word Cloud; 5.3 Introduction; 5.4 What Is a Smart City?; 5.5 Smart City Objectives; 5.6 Steps Toward a Smart City. 5.7 Smart City Frameworks5.8 Evaluating the Effects of Investments; 5.9 Smart City Challenges; 5.10 Smart City Opportunities; 5.11 Lessons Learned from the London Congestion Charge Project; 5.12 The Sentient City; 5.13 Summary; References; 6 What Are Analytics?; 6.1 Informational Objectives; 6.2 Introduction; 6.3 Word Cloud; 6.4 What Is an Analytic?; 6.5 Why Analytics Are Valuable; 6.6 Smart City Services Analytics; 6.7 Analytical Performance Management for a Smart City; 6.8 How Do Analytics and Data Lakes Fit Together?; 6.9 How to Identify Data Needs Associated with Analytics?; 6.10 Summary. |
| Record Nr. | UNINA-9910796811403321 |
|
McQueen Bob
|
||
| Boston, Massachusetts : , : Artech House, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data analytics for connected vehicles and smart cities / / Bob McQueen
| Big data analytics for connected vehicles and smart cities / / Bob McQueen |
| Autore | McQueen Bob |
| Pubbl/distr/stampa | Boston, Massachusetts : , : Artech House, , [2017] |
| Descrizione fisica | 1 online resource (xviii, 294 pages) : illustrations |
| Disciplina | 388.0285 |
| Collana | Artech House power engineering series |
| Soggetto topico |
Intelligent transportation systems
Transportation - Planning City planning - Technological innovations Big data |
| ISBN |
1-5231-4613-3
1-63081-474-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro; Big Data Analytics for Connected Vehicles and Smart Cities; Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 Informational Objectives of This Chapter; 1.3 Word Cloud; 1.4 Background; 1.5 Why This Subject and Why Now?; 1.6 Intended Readership Groups for the Book; 1.7 Overview of Contents; References; 2 What Is Big Data?; 2.1 Informational Objectives of This Chapter; 2.2 Chapter Word Cloud; 2.3 Introduction; 2.4 Questions Instead of Answers?; 2.5 Overview of the Questions; 2.6 Safety-Related Questions; 2.7 Efficiency-Related Questions; 2.8 User Experience-Related Questions.
2.9 What Do We Do with the QuestionsReferences; 3 What Is Big Data?; 3.1 Informational Objectives of This Chapter; 3.2 Word Cloud; 3.3 Introduction; 3.4 How Is Big Data Measured?; 3.5 What Is Big Data?; 3.6 Challenges; 3.7 Big Data in Transportation; 3.8 Transportation Systems Management and Operations; References; 4 Connected and Autonomous Vehicles; 4.1 Informational Objectives; 4.2 Word Cloud; 4.3 Introduction; 4.4 What Is a Connected Vehicle?; 4.5 Connected Vehicle Challenges; 4.6 What Is an Autonomous Vehicle?; 4.7 Autonomous Vehicle Challenges. 4.8 Summary of the Differences between Connected and Autonomous Vehicles4.8 Connected and Autonomous Vehicles within a Smart City; 4.9 The Likely Impact of the Connected and the Autonomous Vehicle on Transportation; 4.10 Big Data and Connectivity; 4.11 Connected and Autonomous Vehicles within a Smart City; 4.12 The Likely Effect of Connected and Autonomous Vehicles on the Automotive Industry; 4.12 Summary; References; 5 Smart Cities; 5.1 Informational Objectives; 5.2 Word Cloud; 5.3 Introduction; 5.4 What Is a Smart City?; 5.5 Smart City Objectives; 5.6 Steps Toward a Smart City. 5.7 Smart City Frameworks5.8 Evaluating the Effects of Investments; 5.9 Smart City Challenges; 5.10 Smart City Opportunities; 5.11 Lessons Learned from the London Congestion Charge Project; 5.12 The Sentient City; 5.13 Summary; References; 6 What Are Analytics?; 6.1 Informational Objectives; 6.2 Introduction; 6.3 Word Cloud; 6.4 What Is an Analytic?; 6.5 Why Analytics Are Valuable; 6.6 Smart City Services Analytics; 6.7 Analytical Performance Management for a Smart City; 6.8 How Do Analytics and Data Lakes Fit Together?; 6.9 How to Identify Data Needs Associated with Analytics?; 6.10 Summary. |
| Record Nr. | UNINA-9910811268703321 |
|
McQueen Bob
|
||
| Boston, Massachusetts : , : Artech House, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Mobility : Using Technology to Improve Transportation in Smart Cities
| Smart Mobility : Using Technology to Improve Transportation in Smart Cities |
| Autore | McQueen Bob |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (545 pages) |
| Disciplina | 307.1/416 |
| Altri autori (Persone) |
SafiAmmar
AlkheyailiShafia |
| Soggetto topico |
Smart cities
Urban transportation - Technological innovations |
| ISBN |
1-119-84716-8
1-119-84715-X 1-119-84714-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- About the Authors -- Preface -- Acknowledgments by Bob McQueen -- Acknowledgments by Ammar Safi -- Acknowledgments by Shafia Alkheyaili -- Chapter 1 Introduction -- 1.1 Informational Objectives -- 1.2 Introduction -- 1.3 What Is Smart Mobility? -- 1.4 The Smart Mobility Revolution -- 1.5 Smart Mobility Versus Smart Cities -- 1.6 Informational Objectives of This Chapter -- 1.7 Background -- 1.8 Why This Subject and Why Now? -- 1.9 Intended Readership for the Book -- 1.9.1 Public Sector -- 1.9.2 Private Sector -- 1.9.3 Academia -- 1.10 Book Overview -- 1.10.1 Chapter 1: Introduction (Current Chapter) -- 1.10.2 Chapter 2: Smart Cities Overview -- 1.10.3 Chapter 3: Smart Mobility: A Problem Statement -- 1.10.4 Chapter 4: The Values and Benefits of Smart Mobility -- 1.10.5 Chapter 5: Smart Mobility Progress Around the World -- 1.10.6 Chapter 6: Planning for Smart Mobility -- 1.10.7 Chapter 7: The Essential Elements of Smart Mobility -- 1.10.8 Chapter 8: Smart Mobility Technologies -- 1.10.9 Chapter 9: Smart Mobility Opportunities and Challenges -- 1.10.10 Chapter 10: A Framework for Smart Mobility Success -- 1.10.11 Chapter 11: Smart Mobility Performance Management -- 1.10.12 Chapter 12: Mobility for People -- 1.10.13 Chapter 13: Smart Mobility Policy and Strategy -- 1.10.14 Chapter 14: Smart Mobility Organization -- 1.10.15 Chapter 15: Smart Mobility Operational Management -- 1.10.16 Chapter 16: Summary and Conclusions -- Reference -- Chapter 2 Smart Cities Overview -- 2.1 Learning Objectives -- 2.2 Introduction -- 2.3 Smart City Services -- 2.4 Affordable Housing -- 2.4.1 Modular Construction -- 2.4.2 3D Printing -- 2.4.3 Housing Management Software -- 2.5 Air Quality -- 2.5.1 Air Quality Sensors on Streetlights -- 2.5.2 Citizen and Visitor Information -- 2.5.3 Spatial Planning.
2.6 Buildings -- 2.6.1 Occupancy Monitoring -- 2.6.2 Dynamic Resource Assignment -- 2.6.3 Advanced Heating Ventilation and Air Conditioning (HVAC) Control -- 2.7 Citizen and Visitor Engagement -- 2.7.1 Smartphone Applications -- 2.7.2 Virtual and Augmented Reality -- 2.7.3 Online Meeting Technology and Multiple Information Delivery Channels -- 2.8 Construction -- 2.8.1 Smart Construction Sites -- 2.8.2 Automated Construction Vehicles -- 2.8.3 Delivery Management -- 2.9 Education -- 2.9.1 Digital Services -- 2.9.2 Interactive Learning -- 2.9.3 On-demand Learning -- 2.10 Employment -- 2.10.1 Opportunity Network Crowdsourcing -- 2.10.2 On-demand Work -- 2.10.3 Local Service Counters -- 2.11 Energy -- 2.11.1 Generation -- 2.11.2 Wholesale and Trading -- 2.11.3 Transmission Operations -- 2.11.4 Transmission Ownership -- 2.11.5 Distribution -- 2.11.6 Large Customer Retail -- 2.11.7 Mass-market Retail -- 2.11.8 Shared Services -- 2.11.9 Waste Heat Capture -- 2.12 Finance -- 2.12.1 Electronic Payment -- 2.12.2 Blockchain -- 2.12.3 Road User Charging -- 2.13 Government -- 2.13.1 Smart Kiosks -- 2.13.2 Open Data -- 2.13.3 Smart City Platforms -- 2.14 Green Spaces -- 2.14.1 Maintenance Management -- 2.14.2 Park Wi-Fi -- 2.14.3 Energy and Water Conservation Management -- 2.15 Health -- 2.15.1 Wearable Devices -- 2.15.2 Mobile In-home Treatment and Telemedicine -- 2.15.3 Surgical Robots -- 2.16 Manufacturing -- 2.16.1 Supply Chain Management -- 2.16.2 Industrial Robotics -- 2.16.3 Private Cellular Networks -- 2.17 Mobility -- 2.17.1 Connected and Automated Vehicles -- 2.17.2 Connected Citizens and Visitors -- 2.17.3 Integrated Payment Systems -- 2.17.4 Smart Grid and Electric Vehicles -- 2.17.5 Mobility Management -- 2.17.6 Enabling Services -- 2.18 Recycling -- 2.18.1 Smart Garbage Cans -- 2.18.2 Circular Economy Management -- 2.18.3 Energy Recycling. 2.19 Retail and Logistics -- 2.19.1 Location Intelligence -- 2.19.2 Customer Experience Management -- 2.19.3 Real-Time Inventory Management -- 2.20 Safety -- 2.20.1 Early Warning Systems -- 2.20.2 Next-Generation Emergency Systems -- 2.20.3 Personal Security Systems -- 2.21 Security -- 2.21.1 Real-time Crime Centers -- 2.21.2 Police Officer Wearables -- 2.21.3 Mobile Video Capture and Recording -- 2.21.4 Event Management -- 2.21.5 Step One Detection -- 2.21.6 Step Two Verification -- 2.21.7 Step Three Plan Selection and Response -- 2.21.8 Step Four Incident Clearance -- 2.21.9 Step Five - Local and Regional Transportation Management -- 2.22 Water -- 2.22.1 Collection -- 2.22.2 Screening and Straining -- 2.22.3 Chemical Addition -- 2.22.4 Coagulation and Flocculation -- 2.22.5 Sedimentation and Clarification -- 2.22.6 Filtration -- 2.22.7 Disinfection and Fluoridation -- 2.22.8 Water Storage -- 2.22.9 Distribution -- 2.23 Smart City Service Integration -- 2.23.1 Edge Processing -- 2.23.2 Stereoscopic Vision -- 2.23.3 Data Processing -- 2.23.4 Stratified Processing and Response -- 2.23.5 Multisensory Coordination -- 2.23.6 Effects Management -- 2.24 The Smart Mobility Body of Knowledge -- 2.25 Teamwork and Multiagency Coordination -- References -- Chapter 3 Smart Mobility: A Problem Statement -- 3.1 Informational Objectives -- 3.2 What Is a Problem Statement? -- 3.3 Why a Problem Statement Is Important -- 3.4 What Is Smart Mobility? -- 3.5 Why Bother with Smart Mobility? -- 3.6 Modes of Transportation in a City -- 3.6.1 Infrastructure -- 3.6.2 Network -- 3.6.3 Hubs -- 3.6.4 Vehicles -- 3.6.5 Containers -- 3.6.6 Workforce -- 3.6.7 Propulsion Systems -- 3.6.8 Power Supplies -- 3.6.9 Operations -- 3.7 The Benefits of Smart Mobility -- 3.8 Avoiding any Undesirable Side Effects -- 3.8.1 Wasted Nonrenewable Resources -- 3.8.2 Environmental Impacts. 3.8.3 Equity Distortion -- 3.8.4 Conflicting Objectives -- 3.9 Challenges -- 3.9.1 Geography -- 3.9.2 Politics -- 3.9.3 Demographical, Environmental, Commercial -- 3.9.4 Accelerating Technology Development -- 3.9.5 Appropriate Use of Data -- 3.9.6 Harnessing the Resources and Motivation of the Private Sector -- 3.9.7 Finding the Right Starting Point -- 3.9.8 Defining Agree in the Right Endpoint -- 3.9.9 Developing a Roadmap -- 3.9.10 Keeping it Going Once you Start -- 3.9.11 Keeping a Focus on the Objectives -- 3.9.12 A Mindset for Success -- 3.9.13 Assessing Capability -- 3.10 Developing a Custom Problem Statement -- 3.11 Summary -- References -- Chapter 4 The Value and Benefits of Smart Mobility -- 4.1 Informational Objectives -- 4.2 Introduction -- 4.3 Features, Benefits, and Value -- 4.3.1 Solution Features -- 4.3.2 Benefits -- 4.3.3 Value -- 4.4 The Challenges -- 4.4.1 Lack of Consistent Before and After Data -- 4.4.2 Resource Intensive Data Collection Needs -- 4.4.3 Evaluation Can Take a Long Time -- 4.4.4 Isolation of Effects -- 4.4.5 Accounting for Residual Value -- 4.4.6 Defining a Complete Evaluation -- 4.4.7 The Need for Detailed Design as the Basis for Accurate Cost Estimates -- 4.5 The Opportunities -- 4.5.1 Scientific Approach to Investment Programs -- 4.5.2 Rational Prioritization -- 4.5.3 Informing Political Decision-making -- 4.5.4 Building the Value Proposition for Smart Mobility -- 4.5.5 Effective Communications to Stakeholders and the Public -- 4.6 Approach Philosophy -- 4.7 Smart Mobility Benefit-cost Analysis Case Studies -- 4.7.1 Case Study 1 - Roadside Infrastructure-based Sensors, Lifecycle Cost Comparison -- 4.7.2 Case Study 2 - Truck Tire Defects Monitoring Benefit and Cost Analysis -- 4.7.3 Expected Outcomes -- 4.7.4 Benefit Cost Dashboard -- 4.8 Case Study 3 - Advanced Traffic Management -- 4.8.1 Evaluation Parameters. 4.9 Developing a Comprehensive Benefits Analysis Framework -- 4.10 Summary -- References -- Chapter 5 Smart Mobility Progress Around the World -- 5.1 Informational Objectives -- 5.2 Introduction -- 5.3 A Definition of Smart Mobility -- 5.4 The Importance of Smart Mobility -- 5.5 Review of Key Cities Leading the Way in Smart Mobility -- 5.6 Amsterdam, the Netherlands -- 5.6.1 Overview -- 5.6.2 Smart Mobility Implementations -- 5.6.3 Key Lessons Learned -- 5.7 Barcelona -- 5.7.1 Overview -- 5.7.2 Smart Mobility Initiatives -- 5.7.3 Lessons Learned -- 5.8 Berlin -- 5.8.1 Overview -- 5.8.2 Smart Mobility Initiatives -- 5.8.3 Lessons Learned -- 5.9 Dubai -- 5.9.1 Overview -- 5.9.2 Smart Mobility Initiatives -- 5.9.3 Lessons Learned -- 5.10 Helsinki -- 5.10.1 Overview -- 5.10.2 Smart Mobility Initiatives -- 5.10.3 Lessons Learned -- 5.11 London -- 5.11.1 Overview -- 5.11.2 Smart Mobility Initiatives -- 5.11.3 Lessons Learned -- 5.12 New York -- 5.12.1 Overview -- 5.12.2 Smart Mobility Initiatives -- 5.12.3 Lessons Learned -- 5.13 Seoul -- 5.13.1 Overview -- 5.13.2 Smart Mobility Initiatives -- 5.13.3 Lessons Learned -- 5.14 Singapore -- 5.14.1 Overview -- 5.14.2 Smart Mobility Initiatives -- 5.14.3 Lessons Learned -- 5.15 Stockholm -- 5.15.1 Overview -- 5.15.2 Smart Mobility Initiatives -- 5.15.3 Lessons Learned -- 5.16 Summary -- References -- Chapter 6 Planning for Smart Mobility -- 6.1 Informational Objectives -- 6.2 Introduction -- 6.2.1 What? -- 6.2.2 Why? -- 6.2.3 When? -- 6.2.4 How? -- 6.2.5 Where? -- 6.2.6 Who? -- 6.3 The Objectives of Planning -- 6.4 The Essentials of an Effective Smart Mobility Planning Approach -- 6.5 Smart Mobility Planning Goals -- 6.5.1 Safety -- 6.5.2 Efficiency -- 6.5.3 User Experience -- 6.5.4 Economic Development -- 6.6 The Value of Planning -- 6.6.1 Defining What You Want (And What You Do Not Want). 6.6.2 Getting What You Want. |
| Record Nr. | UNINA-9910878995503321 |
|
McQueen Bob
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||