paper-conference

E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations
When electrified transit systems make grid aware choices, improved social welfare is achieved by reducing grid stress, reducing system …
Rishav Sen, Alok Kumar Bharati, Seyedmehdi Khaleghian, Malini Ghosal, Michael Wilbur, Toan Tran, Philip Pugliese, Mina Sartipi, Himanshu Neema, Abhishek Dubey
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E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations
When electrified transit systems make grid aware choices, improved social welfare is achieved by reducing grid stress, reducing system …
Rishav Sen, Alok Kumar Bharati, Seyedmehdi Khaleghian, Malini Ghosal, Michael Wilbur, Toan Tran, Philip Pugliese, Mina Sartipi, Himanshu Neema, Abhishek Dubey
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Traffic Anomaly Detection Via Conditional Normalizing Flow
Traffic congestion anomaly detection is of paramount importance in intelligent traffic systems. The goals of transportation agencies …
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shijie Wen, Abhishek Dubey
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Traffic Anomaly Detection Via Conditional Normalizing Flow
Traffic congestion anomaly detection is of paramount importance in intelligent traffic systems. The goals of transportation agencies …
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shijie Wen, Abhishek Dubey
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Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract
Distributed messaging systems (DMSs) are often equipped with a large number of configurable parameters that enable users to define …
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
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Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Deep Neural Networks (DNNs) are popularly used for implementing autonomy related tasks in automotive Cyber-Physical Systems (CPSs). …
Matthew Burruss, Shreyas Ramakrishna, Abhishek Dubey
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Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Deep Neural Networks (DNNs) are popularly used for implementing autonomy related tasks in automotive Cyber-Physical Systems (CPSs). …
Matthew Burruss, Shreyas Ramakrishna, Abhishek Dubey
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Efficient Data Management for Intelligent Urban Mobility Systems
Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams. Working with …
Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey
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Efficient Data Management for Intelligent Urban Mobility Systems
Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams. Working with …
Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey
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Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-Task and Inductive Transfer Learning
Public transit agencies are focused on making their fixed-line bus systems more energy efficient by introducing electric (EV) and …
Michael Wilbur, Ayan Mukhopadhyay, Sayyed Vazirizade, Philip Pugliese, Aron Laszka, Abhishek Dubey
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