DEAR EDUCATION CONSULTANT,
PLEASE COMMENTS AND ADVICES TO THIS MOTIVATION LETTER FOR APPLYING MASTER PROGRAM
DDear Admissions Committee,
For nearly 30 years, Jakarta has been my home-a city that shaped my life and career while making daily mobility a constant struggle due to heavy traffic congestion. Witnessing how unchecked urban development affects both quality of life and the environment, I became determined to find sustainable solutions. This led me to pursue a degree in Forestry Engineering, where I discovered my passion for geoinformation technology through a project designing urban forests to reduce traffic pollution and enhance sustainable mobility. These experiences deepened my understanding of the connection between transportation, urban development, and sustainability, motivating me writing this letter to apply for the Master's Program in Transportation and Geoinformation Technology at KTH to develop sustainable urban mobility solutions as part of my future career.
Driven by my passion for sustainability, I began my career at a research organization, where I honed my geospatial analysis skills and contributed to several publications on environmental issues. This foundation paved the way for my next role at Esri Indonesia as a Geospatial Solution Engineer, where I collaborated with the Ministry of Transportation to address Jakarta's traffic congestion. Using ArcGIS Ge-Event Server, I integrated real-time data from CCTV, public transport sensors, and traffic networks to model patterns and reduce bottlenecks. This data-driven approach empowered police to implement dynamic traffic management, such as car odd-even restrictions, and optimize traffic flow. Additionally, by analyzing demographic data and leveraging Big Data from millions of commuters' tap cards, I redesigned public transport routes to enhance efficiency, reduce private vehicle dependence, and reduce carbon emissions. These experiences have demonstrated to me the transformative power of geoinformation technology in urban transport.
Through the Master's Program in Transportation and Geoinformation Technology at KTH, I aim to leveraging my previous work of real-time traffic solutions in Jakarta by developing Adaptive Traffic Signal Control (ATSC) to enhance urban traffic management and reduce greenhouse gas emissions. This aspiration emerged from the fact that Jakarta's relies on traditional traffic lights with fixed timings, which fail to consider real-time vehicle density, often resulting in severe bottlenecks and inefficiencies. This results in significant congestion during peak hours, increased emissions, and ultimately longer commuting times. Inspired by Sweden's smart city initiatives, I will combining AI-driven adaptive traffic systems that optimize vehicle flow based on real-time data, thereby improving traffic efficiency and reducing emissions.
To support my research, I chose KTH in particularly drawn to courses such as Traffic Simulation Modelling and Applied Artificial Intelligence in Transportation, which will enable me to advance my work on dynamic traffic management. In addition, I am eager to collaborate with experts like Professor Xiaoliang Ma, whose research on intelligent controls and computational modeling aligns closely with my aspirations. His leadership in Intelligent Transport System (ITS) technologies and role in co-founding TrafficLab will offer valuable insights for refining my approach to smart transportation systems.
By leveraging the program's interdisciplinary approach, I aim to shape urban mobility in Jakarta and beyond, creating efficient and sustainable systems. In the short term, I plan to work with government agencies, such as the Ministry of Transportation, where I previously collaborated on traffic management projects, using the advanced knowledge from KTH to drive sustainable transport initiatives. In the long term, I aspire to contribute to achieving the UN's Sustainable Development Goals by 2030, specifically SDG 11 (Sustainable Cities and Communities), through a leadership role in an organization dedicated to sustainable urban mobility.
Sincerely,
Azmi
PLEASE COMMENTS AND ADVICES TO THIS MOTIVATION LETTER FOR APPLYING MASTER PROGRAM
DDear Admissions Committee,
For nearly 30 years, Jakarta has been my home-a city that shaped my life and career while making daily mobility a constant struggle due to heavy traffic congestion. Witnessing how unchecked urban development affects both quality of life and the environment, I became determined to find sustainable solutions. This led me to pursue a degree in Forestry Engineering, where I discovered my passion for geoinformation technology through a project designing urban forests to reduce traffic pollution and enhance sustainable mobility. These experiences deepened my understanding of the connection between transportation, urban development, and sustainability, motivating me writing this letter to apply for the Master's Program in Transportation and Geoinformation Technology at KTH to develop sustainable urban mobility solutions as part of my future career.
Driven by my passion for sustainability, I began my career at a research organization, where I honed my geospatial analysis skills and contributed to several publications on environmental issues. This foundation paved the way for my next role at Esri Indonesia as a Geospatial Solution Engineer, where I collaborated with the Ministry of Transportation to address Jakarta's traffic congestion. Using ArcGIS Ge-Event Server, I integrated real-time data from CCTV, public transport sensors, and traffic networks to model patterns and reduce bottlenecks. This data-driven approach empowered police to implement dynamic traffic management, such as car odd-even restrictions, and optimize traffic flow. Additionally, by analyzing demographic data and leveraging Big Data from millions of commuters' tap cards, I redesigned public transport routes to enhance efficiency, reduce private vehicle dependence, and reduce carbon emissions. These experiences have demonstrated to me the transformative power of geoinformation technology in urban transport.
Through the Master's Program in Transportation and Geoinformation Technology at KTH, I aim to leveraging my previous work of real-time traffic solutions in Jakarta by developing Adaptive Traffic Signal Control (ATSC) to enhance urban traffic management and reduce greenhouse gas emissions. This aspiration emerged from the fact that Jakarta's relies on traditional traffic lights with fixed timings, which fail to consider real-time vehicle density, often resulting in severe bottlenecks and inefficiencies. This results in significant congestion during peak hours, increased emissions, and ultimately longer commuting times. Inspired by Sweden's smart city initiatives, I will combining AI-driven adaptive traffic systems that optimize vehicle flow based on real-time data, thereby improving traffic efficiency and reducing emissions.
To support my research, I chose KTH in particularly drawn to courses such as Traffic Simulation Modelling and Applied Artificial Intelligence in Transportation, which will enable me to advance my work on dynamic traffic management. In addition, I am eager to collaborate with experts like Professor Xiaoliang Ma, whose research on intelligent controls and computational modeling aligns closely with my aspirations. His leadership in Intelligent Transport System (ITS) technologies and role in co-founding TrafficLab will offer valuable insights for refining my approach to smart transportation systems.
By leveraging the program's interdisciplinary approach, I aim to shape urban mobility in Jakarta and beyond, creating efficient and sustainable systems. In the short term, I plan to work with government agencies, such as the Ministry of Transportation, where I previously collaborated on traffic management projects, using the advanced knowledge from KTH to drive sustainable transport initiatives. In the long term, I aspire to contribute to achieving the UN's Sustainable Development Goals by 2030, specifically SDG 11 (Sustainable Cities and Communities), through a leadership role in an organization dedicated to sustainable urban mobility.
Sincerely,
Azmi
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