The continuous growth in vehicle numbers has increased the congestion of traffic in maximum urban places in the world. The insufficient space to further expand the road and also the budget to further construct new roads in every city means the country must think about other method to solve this issue. Rather than following the traditional way of just expanding the roads, a system should be adopted that can help reduce the traffic problems.
In this research, future scope of STMS in the context of Kathmandu, Nepal is explained. In order to collect the information related to the existing traffic system and the objectives related to the subject matter, quantitative approach of research follows. Also, the benefits of adopting STMS in the current scenario of Kathmandu are described.
Various technical challenges need to be overcome in order to adopt STMS. Those challenges are described in this research with proper references to the information collected from the vehicle owners as well as the traffic policemen of Kathmandu through questionnaire.
Table of Contents
1. CHAPTER I INTRODUCTION AND DISSERTATION BACKGROUND
1.1 Introduction
1.2 Background of the Study
1.3 Statement of the Problem
1.4 Aim of the research
1.5 Objectives of the Research
1.6 Research Questions
1.7 Scope of the Research
1.8 Significance of the Research
1.9 Overview of thesis
1.10 Summary
2. CHAPTER II LITERATURE REVIEW
2.1 Introduction
2.2 STMS Overview
2.3 Smart Traffic Application using various technologies
2.3.1 Using GPS
2.3.2 Using Image Processing
2.3.3 Using Power Line Communication (PLC)
2.3.4 Using Sensors and embedded system
2.3.5 Using Cloud Computing
2.4 Benefits of IoT Based Smart Traffic Management System
2.4.1 STMS Opportunities
2.5 Summary
3. CHAPTER III RESEARCH METHODOLOGY
3.1 Research Methodology
3.1.1 Research Strategy
3.2 Sampling methods And Sample Design
3.3 Data Collection Methods
3.4 Data Capturing and Data Editing
3.5 Design of the questionnaire question
3.6 Data Collection Limitations
3.7 Data Collection Assumptions
3.8 Research Timeframe
3.9 Ethics and Confidentiality
3.10 Summary
4. CHAPTER IV DATA ANALYSIS
4.1 Introduction
4.2 Respondent’s Background
4.3 Data analysis on the basis of vehicle owners:
4.3.1 Frequency analysis of gender:
4.3.2 Frequency analysis of age:
4.3.3 Frequency analysis of mode of transportation:
4.3.4 Frequency distribution of perception on existing traffic system:
4.3.5 Frequency distribution of satisfaction with current TMS:
4.3.6 Questions related to Scope of STMS:
4.3.7 Questions related to possible benefits of STMS:
4.3.8 Question related to Technical challenges of STMS:
4.4 Data Analysis on the basis of respondent category: Traffic Policemen
4.4.1 Frequency analysis of gender:
4.4.2 Frequency analysis of age:
4.4.3 Frequency distribution of Post
4.4.4 Frequency distribution of Experience
4.4.5 Questions related to the Scope of STMS adoption:
4.4.6 Questions related to the possible benefits of STMS adoption:
4.4.7 Questions related to the technical challenges of STMS adoption:
4.5 Summary
5. CHAPTER V CONCLUSION AND RECOMMENDATIONS
5.1 Findings
5.1.1 On the basis of data collection from vehicle owners:
5.1.2 On the basis of data collection from traffic policemen:
5.2 Discussion
5.2.1 Scope of STMS adoption
5.2.2 Possible benefits of STMS implementation
5.2.3 Technical challenges of STMS adoption
5.3 Conclusion
5.4 Recommendations
5.5 Future Work
Objectives and Research Focus
The primary objective of this research is to evaluate the feasibility and future scope of adopting a Smart Traffic Management System (STMS) in Kathmandu, Nepal, by identifying existing technical challenges through quantitative analysis based on surveys of vehicle owners and traffic personnel.
- Analysis of existing traffic conditions in Kathmandu and current limitations.
- Evaluation of the potential benefits of implementing an STMS.
- Identification of technical challenges associated with STMS adoption.
- Comparison of traffic stakeholder perspectives on traffic management.
Excerpt from the Book
1.2 Background of the Study
Intelligent traffic system comprises of various system including the system for communicating, controlling, analyzing and managing the traffic. The intelligent traffic system is used with the objective to gain traffic performance advantages. The traffic congestion is the major issue in the recent days and the most of the cities are facing problem because of traffic congestion. (Gautam Hoshing, 2017)
Intelligent traffic management system is necessary for the smart cities in the recent context. The intelligent traffic management system helps in controlling flow of the traffic and also helps in reducing the traffic congestion. Comparing the traditional traffic lights and the smart traffic lights, the smart traffic lights activate the lights whenever it is required according to what is happening in the roads. Few of the cities that have already adopted the intelligent traffic management system are Singapore and India. Furthermore, the use of the smart traffic management system helps in reducing the irritation of drivers and reducing the road rash cases. (Sabhijiit Singh Sandhu, 2015)
The application of the Smart traffic management system is collecting the data related to the traffic in the actual time to monitor the system for resolving the traffic related issues. The STMS helps in deducting the time that is spent while pausing in the traffic congestion and also minimize the fuel and budget. (Dr. Meenakshi Sundaram, 2017)
With the current scenario of people going through traffic congestion every single day leading to the waste of time and fuel, there should be a proper system that can help in minimizing the traffic problems and also reducing the traffic congestion. Hence, the implementation of smart traffic management system can help resolve the traffic problems. (Antonio J. Fernández-Ares, 2016)
Summary of Chapters
CHAPTER I INTRODUCTION AND DISSERTATION BACKGROUND: Outlines the research context, problem statement regarding traffic congestion in Kathmandu, and research objectives.
CHAPTER II LITERATURE REVIEW: Analyzes existing research papers and studies regarding STMS, comparing various technologies and approaches used in traffic management.
CHAPTER III RESEARCH METHODOLOGY: Details the quantitative research approach, survey design, and data collection methods involving vehicle owners and traffic policemen.
CHAPTER IV DATA ANALYSIS: Presents the findings from the surveys, including demographic data and respondent perspectives on STMS benefits and challenges, analyzed via SPSS.
CHAPTER V CONCLUSION AND RECOMMENDATIONS: Synthesizes research findings and provides recommendations for integrating STMS in Kathmandu as part of smart city initiatives.
Keywords
Smart Traffic Management System, STMS, Traffic congestion, Kathmandu, Nepal, Intelligent Transport System, IoT, Traffic safety, Data analysis, Quantitative research, Traffic police, Vehicle owners, Road infrastructure, Smart cities, Road accidents
Frequently Asked Questions
What is the core focus of this research?
The research focuses on exploring the future scope and technical challenges of adopting a Smart Traffic Management System (STMS) specifically within the urban context of Kathmandu, Nepal.
What are the central themes discussed in the work?
The central themes include the limitations of the existing manual traffic system, the potential benefits of digital STMS, and specific challenges like internet availability, budget, and government policy.
What is the primary goal of the study?
The goal is to determine the viability of STMS implementation by analyzing data collected from the city's key stakeholders: vehicle drivers and traffic police officers.
Which methodology was employed for the research?
A quantitative methodology was used, utilizing web-based and manual surveys (questionnaires) to gather data from 315 vehicle owners and 53 traffic policemen.
What does the main body of the work cover?
It covers a detailed literature review of various traffic management technologies (GPS, sensors, AI), followed by a comprehensive data analysis section based on the conducted surveys.
Which keywords characterize this research?
Key terms include Smart Traffic Management System, Traffic congestion, Kathmandu, IoT, and Intelligent Transport System.
Why is online license reading considered important by traffic police?
Police believe it is vital for identifying vehicle owners, accessing accurate records, reducing fraud, and streamlining the ticketing process, which is currently hindered by manual systems.
What did the analysis reveal about the role of the internet?
The study highlights that internet connectivity is a critical technical challenge, as the proposed STMS requires stable, consistent, and city-wide internet infrastructure to function correctly.
- Arbeit zitieren
- Jyotir Chatterjee (Autor:in), Shrijana Basnet (Autor:in), R. N. Thakur (Autor:in), 2019, Technical Challenges and Future Scope of Smart Traffic Management System Adoption in Kathmandu, Nepal, München, GRIN Verlag, https://www.grin.com/document/538549
