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Luis F Miranda-Moreno

Luis F Miranda-Moreno

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
9047
World Ranking
2903
National Ranking
124

Overview

Luis F Miranda-Moreno is affiliated with McGill University in Canada and has a research focus situated primarily in the fields of Engineering and Social Sciences. Their expertise spans various subfields including Transportation, Automotive Engineering, Building and Construction, Artificial Intelligence, and Safety, Risk, Reliability and Quality.

Their scholarly contributions frequently address topics related to urban and transportation systems, with specific emphasis on the following areas:

  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Traffic and Road Safety
  • Vehicle emissions and performance
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications

Luis F Miranda-Moreno has published extensively in several academic venues, with notable recurrent contributions to:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Transportation Research Part D Transport and Environment
  • Accident Analysis & Prevention
  • International Journal of Transportation Science and Technology

Among their recent published papers are:

  • Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada (2021), published in International Journal of Transportation Science and Technology
  • Accessibility matters: Exploring the determinants of public transport mode share across income groups in Canadian cities (2020), Transportation Research Part D Transport and Environment
  • Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling (2020), Transportation Research Part D Transport and Environment
  • Impact of COVID-19-Related Traffic Slowdown on Urban Heat Characteristics (2021), Atmosphere
  • Development and evaluation of a real-time pedestrian counting system for high-volume conditions based on 2D LiDAR (2020), Transportation Research Part C Emerging Technologies

Collaboration is a significant aspect of Luis F Miranda-Moreno's work, with frequent co-authors including:

  • Lijun Sun
  • Nicolas Saunier
  • Ehsan Nateghinia
  • Ahmed El-Geneidy
  • Aurélie Labbe

Best Publications

  • The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections

    Luis F. Miranda-Moreno;Patrick Morency;Ahmed M. El-Geneidy

  • The role of built environment on pedestrian crash frequency

    Satish Ukkusuri;Luis F. Miranda-Moreno;Gitakrishnan Ramadurai;Jhael Isa-Tavarez

  • A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

    Mohamed Gomaa Mohamed;Nicolas Saunier;Luis F. Miranda-Moreno;Satish V. Ukkusuri

  • Risk of injury for bicycling on cycle tracks versus in the street

    Anne C Lusk;Peter G Furth;Patrick Morency;Luis F Miranda-Moreno

  • The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal

    Marilyne Brosseau;Sohail Zangenehpour;Nicolas Saunier;Luis F Miranda-Moreno

  • A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings.

    Naveen Eluru;Morteza Bagheri;Luis F. Miranda-Moreno;Liping Fu

  • The effect of neighbourhood characteristics, accessibility, home–work location, and demographics on commuting distances

    Kevin Manaugh;Luis F. Miranda-Moreno;Ahmed M. El-Geneidy

  • Weather or Not to Cycle

    Luis F. Miranda-Moreno;Thomas Nosal

  • Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: a Bayesian perspective

    Dominique Lord;Luis F. Miranda-Moreno

  • Quantifying safety benefit of winter road maintenance: Accident frequency modeling

    Taimur Usman;Liping Fu;Luis F. Miranda-Moreno

  • Estimating Potential Effect of Speed Limits, Built Environment, and Other Factors on Severity of Pedestrian and Cyclist Injuries in Crashes

    Seyed Amir H. Zahabi;Jillian Strauss;Kevin Manaugh;Luis F. Miranda-Moreno

  • Cyclist activity and injury risk analysis at signalized intersections: a Bayesian modelling approach.

    Jillian Strauss;Luis F. Miranda-Moreno;Patrick Morency

  • A novel framework to evaluate pedestrian safety at non-signalized locations.

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

  • Alternative Risk Models for Ranking Locations for Safety Improvement

    Luis F. Miranda-Moreno;LP Fu;Fedel Frank Saccomanno;Aurelie Labbe

  • The impact of traffic volume, composition, and road geometry on personal air pollution exposures among cyclists in Montreal, Canada

    Marianne Hatzopoulou;Scott Weichenthal;Hussam Dugum;Graeme Pickett

  • Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review

    Sabreena Anowar;Naveen Eluru;Luis F. Miranda-Moreno

  • Large-scale automated proactive road safety analysis using video data

    Paul St-Aubin;Nicolas Saunier;Luis Miranda-Moreno

  • The effect of weather on the use of North American bicycle facilities: A multi-city analysis using automatic counts

    Thomas Nosal;Luis F. Miranda-Moreno

  • Urban travel CO2 emissions and land use A case study for Quebec City

    Philippe Barla;Luis F. Miranda-Moreno;Martin Lee-Gosselin

  • Are signalized intersections with cycle tracks safer? A case-control study based on automated surrogate safety analysis using video data.

    Sohail Zangenehpour;Jillian Strauss;Luis F. Miranda-Moreno;Nicolas Saunier

  • The Effect of Neighborhood Characteristics, Accessibility, Home-Work Location, and Demographics on Commuting Distances

    Kevin Manaugh;Luis Fernando Miranda-Moreno;Ahmed M El-Geneidy

  • A Novel Framework to Evaluate Pedestrian Safety at Non-Signalized Locations Using Video-Based Trajectory Data

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

Frequent Co-Authors

Nicolas Saunier
Nicolas Saunier Polytechnique Montréal
Liping Fu
Liping Fu University of Waterloo
Naveen Eluru
Naveen Eluru University of Central Florida
Marianne Hatzopoulou
Marianne Hatzopoulou University of Toronto
Dominique Lord
Dominique Lord Texas A&M University
Ahmed El-Geneidy
Ahmed El-Geneidy McGill University
Robert J. Schneider
Robert J. Schneider New York University
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette
Mark S. Goldberg
Mark S. Goldberg McGill University
Walter C. Willett
Walter C. Willett Harvard University

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