Optimising the Hyderabad Metro : analyzing and addressing overcrowding through data analysis | |
| Author | Patkari, Surya Teja |
| Call Number | AIT ISPR IOT no.23-01 |
| Subject(s) | Subways--India--Hyderabad--Data processing Transportation--India--Hyderabad--Passenger traffic |
| Note | An Internship Study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Internet of Things (IoT) Systems Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | The Hyderabad Metro Rail is the world’s largest metro project in public-private partner ship mode. It covers 69.2 kmacrossthree corridors, transforming Hyderabad, triggering robust economic activity around the city. The Hyderabad Metro is a rapid transit system that has been operating in Hyderabad, In dia, since 2017. The system has been a major success, with ridership increasing steadily over the years. However, the metro has also been plagued by overcrowding, particularly during peak hours.The number of passengers in Hyderabad Metro is increasing day by day. People riding two-wheelers are afraid of the sun and are taking refuge in the chilly metro train. Due to this, the congestion in the metro is increasing. As passengers flock to the metro stations, there is heavy congestion in the stations. The objective ofthis report is to analyze and address theissue of over crowding in the Hyderabad Metro system using data analysis tools and techniques. Through comprehensive data analysis, this study aims to identify the underlying causes of overcrowding and pro vide recommendations for optimizing the metro system’s capacity and operations. By utilizing data analysis tools and techniques, this report aims to provide evidence-based insights and recommendations to address the issue of overcrowding in the Hyderabad Metro system. The findings of this study will be valuable for metro authorities, policy makers, and urban planners, enabling them to make informed decisions to enhance the efficiency, reliability, and capacity of the metro system, leading to improved transporta tion services and a better commuting experience for passengers. |
| Year | 2023 |
| Type | Internship Report |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Internet of Things (IoT) Systems Engineering |
| Chairperson(s) | Attaphongse Taparugssanagorn |
| Examination Committee(s) | Chaklam Silpasuwanchai;Chantri Polprasert |
| Scholarship Donor(s) | AIT Scholarships |
| Degree | Internship Report (M. Eng.) - Asian Institute of Technology, 2023 |