Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN

no code implementations • 5 Mar 2024 • Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Srinivas Pulugurtha, Hamed Tabkhi

Notably, doubling bus utilization decreased daily emissions by 10. 18% in South End and 8. 13% in Avondale, with a corresponding reduction in overall traffic.

Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

no code implementations • 27 Mar 2023 • Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi

A prevalent challenge is the mismatch between actual bus arrival times and their scheduled counterparts, leading to disruptions in fixed schedules.

Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy

no code implementations • 14 Apr 2022 • Roshanak Ashrafi, Mona Azarbayjani, Hamed Tabkhi

To that end, a real-time feedback system is needed to provide data about occupants' comfort conditions that can be used to control the building's heating, cooling, and air conditioning (HVAC) system.