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Submit a ProposalUrban Transportation Systems
 | Sustainability and Future Development By Kundan Meshram Copyright: 2024 | Expected Pub Date:2024/10/02 ISBN: 9781394228249 | Hardcover | 412 pages Price: $225 USD  |
One Line Description
Written and edited by a team of experts in the field, this exciting new volume covers the most up-to-date advances, theories, and practical applications for non-motorized transportation (NMT) systems, geographic information system-based transportation systems, and signal processing for urban transportation systems.
Audience
Civil engineering and transport planning scientists and engineers, industry and academic researchers, students, and other professionals related to civil engineering and transport planning who seek information on sustainable development of urban transportation systems
Civil engineering and transport planning scientists and engineers, industry and academic researchers, students, and other professionals related to civil engineering and transport planning who seek information on sustainable development of urban transportation systems
Description
This book will allow readers to readers to identify traffic and transport problems in cities and to study mass transportation systems, and modes of transportation and their characteristics, focusing on transportation infrastructure which includes green bays, control stations, mitigation buildings, separator lanes, and safety islands. From this, readers will be able to study urban public transport systems and gain some background into intelligent transportation and telemetric systems, including techniques for designing transport telemetric systems and applying them to urban transportation. Applications include advanced traffic management systems, advanced traveler information systems, advanced vehicle control systems, commercial vehicle operational management, advanced public transportation systems, electronic payment systems, advanced urban transportation, security and safety systems, and urban traffic control.
From this, an artificial Intelligence-based transportation system design using genetic algorithms and neural networks is discussed, to show applications in designs. These models and their studies are further extended in signal processing systems and geographic information systems (GIS) to improve transportation system design, and to apply this to the design of non-motorized T ransportation models, while ensuring pedestrian safety. All these models are further analyzed for environmental impact assessment, which include structural audits, analysis of site selection procedure, baseline conditions and major concerns, green building and its advantages, the description of potential environmental effects, and many more interesting topics.
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This book will allow readers to readers to identify traffic and transport problems in cities and to study mass transportation systems, and modes of transportation and their characteristics, focusing on transportation infrastructure which includes green bays, control stations, mitigation buildings, separator lanes, and safety islands. From this, readers will be able to study urban public transport systems and gain some background into intelligent transportation and telemetric systems, including techniques for designing transport telemetric systems and applying them to urban transportation. Applications include advanced traffic management systems, advanced traveler information systems, advanced vehicle control systems, commercial vehicle operational management, advanced public transportation systems, electronic payment systems, advanced urban transportation, security and safety systems, and urban traffic control.
From this, an artificial Intelligence-based transportation system design using genetic algorithms and neural networks is discussed, to show applications in designs. These models and their studies are further extended in signal processing systems and geographic information systems (GIS) to improve transportation system design, and to apply this to the design of non-motorized T ransportation models, while ensuring pedestrian safety. All these models are further analyzed for environmental impact assessment, which include structural audits, analysis of site selection procedure, baseline conditions and major concerns, green building and its advantages, the description of potential environmental effects, and many more interesting topics.
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Author / Editor Details
Kundan Meshram, PhD, is an assistant Professor in the Department of Civil Engineering, at Guru Ghasidas Vishwavidyalaya (A Central University) Bilaspur (C.G.), India. He received his PhD in civil engineering from Maulana Azad National Institute of Technology Bhopal, India. He has six patents and two books to his credit, as well as three book chapters and over 40 research papers in scientific journals and conferences. He was awarded the International Innovative Researcher in Civil Engineering award, RULA Peace Award, and the CPWD Medal and Best Paper Award from the Indian Road Congress.
Kundan Meshram, PhD, is an assistant Professor in the Department of Civil Engineering, at Guru Ghasidas Vishwavidyalaya (A Central University) Bilaspur (C.G.), India. He received his PhD in civil engineering from Maulana Azad National Institute of Technology Bhopal, India. He has six patents and two books to his credit, as well as three book chapters and over 40 research papers in scientific journals and conferences. He was awarded the International Innovative Researcher in Civil Engineering award, RULA Peace Award, and the CPWD Medal and Best Paper Award from the Indian Road Congress.
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Table of Contents
Preface
1. Introduction to Sustainable Transportation
1.1 Introduction
1.2 Traffic and Transport Problems of an Urban City
1.3 Mass Transport System
1.4 Modes of Transportation and Characteristics
1.5 Public Transport System
1.6 Advantages and Disadvantages of Public Transport System
1.7 Role of Transportation in Mass Transportation Systems
1.8 Public-Private Transport System
1.9 Transportation Infrastructure
1.10 Introduction to Sustainable Transportation, and How It Can Solve Various Issues
References
2. Use of Sustainable Transportation for Urban Scenarios
2.1 Introduction to Urban Transportation Scenarios
2.2 Advanced Operation Concepts of Public Transportation
2.3 BRTS and Bus Lane System
2.4 Advantages and Limitations in Worldwide Transport Scenario
2.5 Advantages and Limitations in Indian Transport Scenario
2.6 Rail System and Its Types (in the Context of Monorail, Metro, etc.)
2.7 Advantages and Disadvantages of Rail System
2.8 Skywalk and Under Bridge and Its Advantages
2.9 Measuring Performance of Transit Systems
References
3. Background on Intelligent Transportation and Telemetric Systems
3.1 Introduction
3.2 Definitions
3.3 Features and Objectives of ITS
3.4 History of ITS and Its Development Over the World
3.5 Telemetric Concept
3.6 Transport Telemetric
3.7 Telemetric Structure
3.8 ITS Taxonomy
3.9 ITS Application Areas and Uses
3.10 Application in Urban Transportation
References
4. Use of ITS for Deployment of Sustainable Transportation Models
4.1 Introduction
4.2 How ITS can be Used to Maintain Sustainability
4.2.1 Services for Users’ Components
4.3 Advanced Traffic Management Systems
4.4 Advanced Traveler Information Systems
4.5 Advanced Vehicle Control System
4.6 Commercial Vehicle Operational Management
4.7 Advanced Public Transportation Systems
4.8 Electronic Payment systems
4.8.1 Electronic Payment Systems’ Advantages
4.9 Advanced Urban Transportation Models
4.10 Security and Safety Systems
4.10.1 Security and Safety Tactics for ITS
4.10.2 ITS Security and Safety Technologies
4.11 Urban Traffic Control
4.11.1 Urban Traffic Control Challenges
4.11.2 Technologies and Strategies for ITS Urban Traffic Control
4.12 Benefits and Limitations of ITS for Sustainable Transportation
4.12.1 Benefits of ITS for Sustainable Transportation
4.12.2 Constraints and Difficulties of ITS for Sustainable Transportation
References
5. Artificial Intelligence-Based Transportation System
5.1 Introduction to Artificial Intelligence
5.2 Components of Transportation System that Require Optimization
5.3 Role of Artificial Intelligence in Optimization of these Components
5.4 Congestion Control with Artificial Intelligence
5.5 Accident Avoidance with Artificial Intelligence
5.6 Active Alert System Design with Artificial Intelligence
References
6. Introduction of Signal Processing for Sustainable Transport
6.1 Introduction
6.2 Signal Processing Overview
6.3 Fundamentals of Image Processing
6.4 Fundamental Signals (1-D, 2-D, and 3-D)
6.5 Classification of Systems
6.6 Characteristics of LTI/LSI Systems
6.7 Application of Image Processing in Urban Transportation Systems
References
7. Geographic Information System-Based Transportation System
7.1 Introduction to Geographic Information System
7.1.1 The Development of GIS and Its Definition
7.1.2 Constituent Parts of a GIS
7.1.2.1 Data
7.1.2.2 Software
7.1.2.3 Hardware
7.1.2.4 Methods and Techniques
7.1.3 The Importance of GIS and Its Uses
7.1.3.1 Urban Planning Geographic Information Systems (GIS)
7.1.3.2 Management of the Environment
7.1.3.3 Public Health
7.1.3.4 Management of Natural Resources
7.1.4 Obstacles to Overcome and Possible Future Paths
7.2 Sources of GIS
7.3 Role of GIS in Transportation
7.4 Assessment of Roads, and Railways Using GIS
7.5 Case Study of Smart City GIS
References
8. Deployment of Sustainability for Non-Motorized Transportation Systems
8.1 Introduction
8.2 Components of NMT
8.3 Categories of NMT
8.4 Planning Smart Cities to Facilitate NMT
8.5 Effect of NMT Planning on Healthcare
8.6 Use of Artificial Intelligence and Machine Learning for Integrating Sustainability in NMTs
References
9. Sustainability for Pedestrian Safety Applications
9.1 Introduction
9.2 Urban Pedestrian Safety—Skyways, Intersection Subways, Halt Stations
9.3 Crossing Measures
9.4 Flexibility in Accessibility
9.5 Design of Collision Control Systems for Intersections to Improve Pedestrian Safety
9.6 Design of Use Case for Pedestrian Safety for Sustainable Operations
References
10. Environmental Impact Assessment
10.1 Introduction
10.2 Description of Proposed Activity
10.3 Structural Audits
10.4 Analysis of Site Selection Procedure
10.5 Baseline Conditions/Major Concerns
10.6 Green Building and Its Advantages
10.7 Description of Potential Positive and Negative Environmental, Social, Economic, and Cultural Impacts including Cumulative, Regional, Temporal, and
Spatial Considerations
10.8 Significance of Mitigation Plans and Monitoring Plans
References
11. Traffic Flow Analysis
11.1 Introduction
11.2 Study Area
11.2.1 About Indore City
11.2.2 Route Under Consideration
11.3 Data Collection
11.3.1 Traffic Volume Study
11.3.2 Speed of Traffic
11.3.3 Road Inventory Data
11.3.4 Compilation of Field Data
11.4 Development of Relationship Between Speed, Flow, and Density
11.4.1 Development of Revised LOC
11.4.2 Comparison of LOC
11.5 Recommendations
References
12. Machine Learning-Based Traffic Operation System
12.1 Introduction
12.2 Literature Review
12.3 Proposed Integrated Machine Learning Model for Improving Highway Traffic Maintenance Efficiency with IoT Devices
12.4 Performance Analysis
12.5 Conclusion and Future Scope
References
13. Traffic Scenario: Efficient Model for Accident Analysis
13.1 Introduction
13.2 Motivation and Contributions
13.3 Review of Existing Models
13.4 Comparative Analysis
13.4.1 Precision
13.4.2 Accuracy
13.4.3 Recall
13.4.4 Delay
13.4.5 Cost
13.4.6 Scalability
13.5 Design of the Proposed Model
13.6 Result Analysis
13.6.1 Data Collection and Preprocessing
13.6.2 Ensemble Learning
13.6.3 Performance Metrics
13.6.4 Association Rule Mining
13.6.5 Sample Data After Preprocessing
13.6.6 Ensemble Learning Model Predictions
13.6.7 Performance Metrics
13.7 Conclusions and Future Scope
Future Scope
References
14. Smart Vehicle Scenarios in Urban Transportation Through Blockchain and Advanced Machine Learning Techniques
14.1 Introduction
14.2 Motivation and Contribution
14.3 Literature Review
14.4 Comparative Analysis of Reviewed Models
14.4.1 Speed
14.4.2 Energy Efficiency
14.4.3 Throughput
14.4.4 Jitter
14.4.5 Packet Delivery Ratio
14.4.6 Attack Precision
14.5 Design of the Proposed Model
14.6 Result Analysis
14.7 Conclusion and Future Scope
Future Scope
References
Appendix 1
Index
Back to Top
Preface
1. Introduction to Sustainable Transportation
1.1 Introduction
1.2 Traffic and Transport Problems of an Urban City
1.3 Mass Transport System
1.4 Modes of Transportation and Characteristics
1.5 Public Transport System
1.6 Advantages and Disadvantages of Public Transport System
1.7 Role of Transportation in Mass Transportation Systems
1.8 Public-Private Transport System
1.9 Transportation Infrastructure
1.10 Introduction to Sustainable Transportation, and How It Can Solve Various Issues
References
2. Use of Sustainable Transportation for Urban Scenarios
2.1 Introduction to Urban Transportation Scenarios
2.2 Advanced Operation Concepts of Public Transportation
2.3 BRTS and Bus Lane System
2.4 Advantages and Limitations in Worldwide Transport Scenario
2.5 Advantages and Limitations in Indian Transport Scenario
2.6 Rail System and Its Types (in the Context of Monorail, Metro, etc.)
2.7 Advantages and Disadvantages of Rail System
2.8 Skywalk and Under Bridge and Its Advantages
2.9 Measuring Performance of Transit Systems
References
3. Background on Intelligent Transportation and Telemetric Systems
3.1 Introduction
3.2 Definitions
3.3 Features and Objectives of ITS
3.4 History of ITS and Its Development Over the World
3.5 Telemetric Concept
3.6 Transport Telemetric
3.7 Telemetric Structure
3.8 ITS Taxonomy
3.9 ITS Application Areas and Uses
3.10 Application in Urban Transportation
References
4. Use of ITS for Deployment of Sustainable Transportation Models
4.1 Introduction
4.2 How ITS can be Used to Maintain Sustainability
4.2.1 Services for Users’ Components
4.3 Advanced Traffic Management Systems
4.4 Advanced Traveler Information Systems
4.5 Advanced Vehicle Control System
4.6 Commercial Vehicle Operational Management
4.7 Advanced Public Transportation Systems
4.8 Electronic Payment systems
4.8.1 Electronic Payment Systems’ Advantages
4.9 Advanced Urban Transportation Models
4.10 Security and Safety Systems
4.10.1 Security and Safety Tactics for ITS
4.10.2 ITS Security and Safety Technologies
4.11 Urban Traffic Control
4.11.1 Urban Traffic Control Challenges
4.11.2 Technologies and Strategies for ITS Urban Traffic Control
4.12 Benefits and Limitations of ITS for Sustainable Transportation
4.12.1 Benefits of ITS for Sustainable Transportation
4.12.2 Constraints and Difficulties of ITS for Sustainable Transportation
References
5. Artificial Intelligence-Based Transportation System
5.1 Introduction to Artificial Intelligence
5.2 Components of Transportation System that Require Optimization
5.3 Role of Artificial Intelligence in Optimization of these Components
5.4 Congestion Control with Artificial Intelligence
5.5 Accident Avoidance with Artificial Intelligence
5.6 Active Alert System Design with Artificial Intelligence
References
6. Introduction of Signal Processing for Sustainable Transport
6.1 Introduction
6.2 Signal Processing Overview
6.3 Fundamentals of Image Processing
6.4 Fundamental Signals (1-D, 2-D, and 3-D)
6.5 Classification of Systems
6.6 Characteristics of LTI/LSI Systems
6.7 Application of Image Processing in Urban Transportation Systems
References
7. Geographic Information System-Based Transportation System
7.1 Introduction to Geographic Information System
7.1.1 The Development of GIS and Its Definition
7.1.2 Constituent Parts of a GIS
7.1.2.1 Data
7.1.2.2 Software
7.1.2.3 Hardware
7.1.2.4 Methods and Techniques
7.1.3 The Importance of GIS and Its Uses
7.1.3.1 Urban Planning Geographic Information Systems (GIS)
7.1.3.2 Management of the Environment
7.1.3.3 Public Health
7.1.3.4 Management of Natural Resources
7.1.4 Obstacles to Overcome and Possible Future Paths
7.2 Sources of GIS
7.3 Role of GIS in Transportation
7.4 Assessment of Roads, and Railways Using GIS
7.5 Case Study of Smart City GIS
References
8. Deployment of Sustainability for Non-Motorized Transportation Systems
8.1 Introduction
8.2 Components of NMT
8.3 Categories of NMT
8.4 Planning Smart Cities to Facilitate NMT
8.5 Effect of NMT Planning on Healthcare
8.6 Use of Artificial Intelligence and Machine Learning for Integrating Sustainability in NMTs
References
9. Sustainability for Pedestrian Safety Applications
9.1 Introduction
9.2 Urban Pedestrian Safety—Skyways, Intersection Subways, Halt Stations
9.3 Crossing Measures
9.4 Flexibility in Accessibility
9.5 Design of Collision Control Systems for Intersections to Improve Pedestrian Safety
9.6 Design of Use Case for Pedestrian Safety for Sustainable Operations
References
10. Environmental Impact Assessment
10.1 Introduction
10.2 Description of Proposed Activity
10.3 Structural Audits
10.4 Analysis of Site Selection Procedure
10.5 Baseline Conditions/Major Concerns
10.6 Green Building and Its Advantages
10.7 Description of Potential Positive and Negative Environmental, Social, Economic, and Cultural Impacts including Cumulative, Regional, Temporal, and
Spatial Considerations
10.8 Significance of Mitigation Plans and Monitoring Plans
References
11. Traffic Flow Analysis
11.1 Introduction
11.2 Study Area
11.2.1 About Indore City
11.2.2 Route Under Consideration
11.3 Data Collection
11.3.1 Traffic Volume Study
11.3.2 Speed of Traffic
11.3.3 Road Inventory Data
11.3.4 Compilation of Field Data
11.4 Development of Relationship Between Speed, Flow, and Density
11.4.1 Development of Revised LOC
11.4.2 Comparison of LOC
11.5 Recommendations
References
12. Machine Learning-Based Traffic Operation System
12.1 Introduction
12.2 Literature Review
12.3 Proposed Integrated Machine Learning Model for Improving Highway Traffic Maintenance Efficiency with IoT Devices
12.4 Performance Analysis
12.5 Conclusion and Future Scope
References
13. Traffic Scenario: Efficient Model for Accident Analysis
13.1 Introduction
13.2 Motivation and Contributions
13.3 Review of Existing Models
13.4 Comparative Analysis
13.4.1 Precision
13.4.2 Accuracy
13.4.3 Recall
13.4.4 Delay
13.4.5 Cost
13.4.6 Scalability
13.5 Design of the Proposed Model
13.6 Result Analysis
13.6.1 Data Collection and Preprocessing
13.6.2 Ensemble Learning
13.6.3 Performance Metrics
13.6.4 Association Rule Mining
13.6.5 Sample Data After Preprocessing
13.6.6 Ensemble Learning Model Predictions
13.6.7 Performance Metrics
13.7 Conclusions and Future Scope
Future Scope
References
14. Smart Vehicle Scenarios in Urban Transportation Through Blockchain and Advanced Machine Learning Techniques
14.1 Introduction
14.2 Motivation and Contribution
14.3 Literature Review
14.4 Comparative Analysis of Reviewed Models
14.4.1 Speed
14.4.2 Energy Efficiency
14.4.3 Throughput
14.4.4 Jitter
14.4.5 Packet Delivery Ratio
14.4.6 Attack Precision
14.5 Design of the Proposed Model
14.6 Result Analysis
14.7 Conclusion and Future Scope
Future Scope
References
Appendix 1
Index
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