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Diego Da Silva, Ph.D
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import mini_bio

current_status =  ['Postdoctoral Fellow @ University of Toronto']

title = ['Ph.D. in Computer Science - Federal University of ABC (Brazil)']

# Fun Fact: The ABC region spans across three cities in the Sao Paulo Metropolitan Area:
# Santo Andre, Sao Bernardo do Campo and Sao Caetano do Sul.
# The initial of each name forms the acronym ABC.

def bio():

    '''My research connects transit and computational methods to create fair, 
    reliable, and efficient urban mobility. Additionally, I am a Brazilian Jiu-Jitsu 
    black belt and former UofT Grappling Club instructor. 
    I take paper submission seriously.'''

research_interests =  ['Learning Methods, Transit Data, Modeling, Simulation']

Download my CV

Academic Contributions

Peer-Reviewed Journal Publications

Da Silva, D., Klumpenhouwer, W., Karner, A., Robinson, M., Liu, R., and Shalaby, A. (2022). Living on a Fare: Modeling and Quantifying the Effects of Fare Budgets on Accessibility and Equity. Journal of Transport Geography 101, p. 103348.

Klumpenhouwer, W., Allen, J., Li, L., Liu, R., Robinson, M., Da Silva, D., Farber, S., Karner, A., Rowangould, D., Shalaby, A., Buchanan, M., and Higashide, S. (2021). A Comprehensive Transit Accessibility and Equity Dashboard. Findings (July). https://dashboard.transitcenter.org/

Chen, R., Shalaby, A., and Da Silva, D., (2024). Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981241242775

Da Silva, D., Shalaby, A. Forecasting Short-Term Subway Passenger Flow Using Wi-Fi Data Comparative Analysis of Advanced Time-Series Methods. Journal of Intelligent Transportation Systems (Under Review).

Othman, K., Ahmed, S., Da Silva, D., Shalaby, A., Abdulhai, B. (2024). Decision Support Tools for Effective Bus Fleet Electrification: Replacement Factors and Fleet Sizing Prediction. Transportation Research Interdisciplinary Perspectives.

Othman, K., Da Silva, D., Shalaby, A., Abdulhai, B. (2024). Interpretable Machine Learning Models for Predicting Ebus Battery Consumption Rates in Cold Climates with and without Auxiliary Heating. Green Energy and Intelligent Transportation.

Peer-Reviewed Journal Publications Under Review

Da Silva, D., Elsaid, F., Shalaby, A. Constructing Origin-Destination Matrix using Wi-Fi and AFC Data. Transportation (Under Review).

Peer-Reviewed Conference Publications

Chen, R., Shalaby, A., Da Silva, D. (2024). Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records. In Proceedings of the 103rd Transportation Research Board. Washington, DC. 32 pages.

Peer-Reviewed Conference Presentations

Da Silva, D., Shalaby, A. (2024). Forecasting Short-Term Subway Passenger Flow Using Wi-Fi Data Comparative Analysis of Advanced Time-Series Methods. 103rd Annual Meeting of the Transportation Research Board. Washington, DC.

Othman, K.,Da Silva, D., Shalaby, A., Abdulhai, B. (2024). Data-Driven Prediction of e-Bus Battery Consumption Rates Using Machine Learning Techniques in the Canadian Environment. 103rd Annual Meeting of the Transportation Research Board. Washington, DC.

R Chen, A Shalaby, Da Silva, D. (2024). Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records. 103rd Annual Meeting of the Transportation Research Board. Washington, DC.

Da Silva, D., Elsaid, F., Shalaby, A. (2023). Constructing Origin-Destination Demand Matrix Using Wi-Fi and Automated Fare Collection Gate Count Data: A Case Study of Toronto’s Subway Network. 102nd Annual Meeting of the Transportation Research Board. Washington, DC.

Da Silva, D., Robinson, M. Liu, R., Klumpenhouwer, W., Shalaby, A., and Karner, A. (2022). A Flexible Itinerary-Based Fare Calculator with Detailed Transfer Modeling. 101st Annual Meeting of the Transportation Research Board. Washington, DC.

Conference Abstracts

Klumpenhouwer, W., Allen, J., Li, L., Liu, R., Robinson, M., Da Silva, D., Farber, S., Karner, A., Rowangould, D., Shalaby, A., Buchanan, M., and Higashide, S. (2021). Dashboarding Transit Accessibility Canadian Urban Transit Association 2021 Virtual Conference. Toronto, Canada.

Da Silva, D., Elsaid, F., Shalaby, A. (2023). Constructing Origin-Destination Demand Matrix Using Wi-Fi and Automated Fare Collection Gate Count Data. 25th Ontario Transportation Expo - Conference and Trade Show. Toronto, Canada.

Othman, K., Da Silva, D., Shalaby, A., Abdulhai, B. (2024). Data-Driven Prediction of e-Bus Battery Consumption Rates. 25th Ontario Transportation Expo - Conference and Trade Show. Toronto, Canada.