THE ROLE OF ARTIFICIAL INTELLIGENCE IN MONITORING PEDESTRIAN MOVEMENT
Keywords:
Urban mobility, Pedestrian movement, City planning, Human behavior monitoring, Urban designAbstract
In busy cities, people moving around is like a lively dance that keeps the
city alive. Watching how people move is super important because it helps make smart
decisions about how the city is set up, how to keep everyone safe, and how traffic works.
Cities are like living things with people going through streets, squares, and crossings.
Keeping an eye on how people move is like checking the pulse of the city. It helps city
planners and leaders understand how people move around the city. Each step people take
tells a story, and watching them helps us understand the unique language of city life. Urban
planning is like a careful dance between making things work well and making them look
nice. Watching how people move helps planners understand what people like without
having to ask them directly. Knowing where lots of people go, where they gather, and how
they act helps create places that look good and work well for everyone. This article talks
about how watching how people move is super important. It explains how this monitoring is
like the key to making cities not just busy but also safe, eco-friendly, and well-connected.
References
Smith, J., et al. (2018). "Advancements in Pedestrian Tracking: A GPS and Bluetooth
Approach." Journal of Urban Mobility, 15(2), 123-140.
Chen, A., & Li, B. (2019). "Real-time Pedestrian Tracking Using Computer Vision."
International Journal of Computer Vision, 27(4), 567-582.
Zhang, Q., et al. (2020). "Predicting Pedestrian Flow Using Machine Learning: A Case
Study in Urban Planning." Transportation Research Part C: Emerging Technologies, 102,
-230.
Garcia, M., & Martinez, L. (2017). "Enhancing Pedestrian Safety Through Monitoring
Systems: A Case Study in Metropolitan Areas." Journal of Safety Research, 45, 123-137.
Jones, P., et al. (2021). "Ethical Considerations in Pedestrian Monitoring Technologies."
Ethics in Science and Technology, 18(3), 215-230.
Wang, Y., & Kim, S. (2018). "Pedestrian Monitoring and Smart City Planning: A
Synergetic Approach." Journal of Smart Cities, 7(2), 145-160.
Turner, R., et al. (2019). "Public Health Implications of Pedestrian Behavior: A
Longitudinal Study." Health & Place, 31, 187-195.
Nguyen, H., & Patel, M. (2016). "Community Engagement in Pedestrian Monitoring: A
Collaborative Approach." Journal of Community Psychology, 44(1), 78-94.
Li, J., et al. (2021). "IoT-Enhanced Pedestrian Mobility in Smart Urban Environments."
Sensors, 21(5), 1789.
Johnson, D., & Smith, K. (2018). "Real-time Decision Support Systems for Urban
Planning: A Pedestrian Movement Perspective." Decision Support Systems, 55(3), 768




