INTELLIGENT SYSTEM TO SUPERVISE MEANS OF TRANSPORT: LOCATION TRACKING AND PASSENGER COUNTING – CASE STUDY: PUBLIC BUS TRASPORTATION

General Information:

Cover Page:

Outline:

Preface
Acknowledgments
Project brief description and objectives
Functionality menu
Chapter 1: Project Overview
1.1 Introduction
1.2 Case study and motivation
1.3 Research questions
1.4 Objective and justification of this research
1.5 Paper structure
1.6 Conclusion
Chapter 2: Background of the Study
2.1 Introduction
2.2 Definition of transport
2.3 The development of transportation
2.4 Means of transport
2.4.1 Air Transportation
2.4.2 Maritime transport
2.4.3 Road transportation
2.4.4 Rail transport
2.5 Transport in Algeria
2.6 Transport Management System
2.6.1 Definition
2.6.2 Properties
2.6.3 Transport Information Systems in Algeria
2.7 System engineering
2.7.1 Definition
2.7.2 Systems Engineering approach
2.8 Machine learning
2.9 Conclusion
Chapter 3: Literature review
3.1 Introduction
3.2 Theoretical review
3.2.1 Deep learning
3.2.2 Computer Vision
3.3 Methodological review
3.3.1 Object detection algorithms
3.3.2 Object tracking algorithms
3.4 Scoping review
3.5 Conclusion
Chapter 4: Methodology
4.1 Introduction
4.2 Setting the conditions for the success of the project
4.3 Preliminary study
4.3.1 Analysis of the needs
4.3.2 Pre-requirement of the system
4.4 Realization phase
4.4.1 Acquisition phase
4.4.2 Execution phase
Chapter 5: System design and conception
5.1 Introduction
5.2 Architecture
5.3 People counting system
5.4 the workflow of the model
5.5 Localization device
5.6 Web Platform
5.7 Work process
5.7.1 The first process: “Geolocation”
5.7.2 The second process: “door status detection”
5.7.3 The third process: “people counting”
5.7.4 The fourth process: “Transfer the data”
5.8 People Detection Algorithm
5.8.1 SSD detection method architecture
5.8.2 MultiBox detector
5.8.3 Training in the SSD detection method
5.8.4 Centroid’s tracking algorithm
5.9 Software and hardware development
5.9.1 Hardware
5.9.2 Software
5.10 Simulation model
5.10.1 Material
5.10.2 Data
5.10.3 Developed simulation Model
5.11 Cost benefits analysis
Chapter 6: Results
6.1 Introduction
6.2 Explanation of object detection and tracking of people (video processing)
6.3 Test of the algorithm
6.4 Configuration in the input video
6.5 Settings the emulation
6.6 Tests
6.7 Simulation model results
Chapter 7: Cost benefit analysis
General Conclusion
7.1 Future research area and recommendations
References

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