What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Transport engineering
Transport engineering, Collision, Injury prevention, Pedestrian and Built environment are his primary areas of study.
His Transport engineering research is mostly focused on the topic Intersection.
Luis F. Miranda-Moreno has researched Intersection in several fields, including Traffic conditions, Geometric design and Traffic flow.
His Collision research incorporates themes from Perspective and Simulation.
His work in the fields of Pedestrian, such as Pedestrian flow, intersects with other areas such as Countdown.
His Cycle track research focuses on subjects like State highway, which are linked to Operations research.
His most cited work include:
- The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections (165 citations)
- Risk of injury for bicycling on cycle tracks versus in the street (154 citations)
- A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada (134 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Transport engineering, Pedestrian, Econometrics, Built environment and Cycling.
Luis F. Miranda-Moreno combines subjects such as Collision and Injury prevention with his study of Transport engineering.
His Pedestrian study combines topics in areas such as Road user, Simulation and Data collection.
The study incorporates disciplines such as Bayesian probability and Bayes' theorem in addition to Simulation.
His Data collection research includes themes of Real-time computing, Computer vision and Artificial intelligence.
His work on Ordered probit as part of general Econometrics study is frequently connected to Estimation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Transport engineering (44.91%)
- Pedestrian (18.98%)
- Econometrics (16.67%)
What were the highlights of his more recent work (between 2015-2021)?
- Transport engineering (44.91%)
- Pedestrian (18.98%)
- Cycling (11.57%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Transport engineering, Pedestrian, Cycling, Data collection and Traffic flow.
His research in Transport engineering is mostly focused on Intersection.
His study in the fields of Schema crosswalk under the domain of Pedestrian overlaps with other disciplines such as Shared space.
His Cycling study integrates concerns from other disciplines, such as Metric and Propensity score matching.
His Data collection research includes themes of Ground truth, Computer vision and Artificial intelligence.
While the research belongs to areas of Traffic flow, Luis F. Miranda-Moreno spends his time largely on the problem of Traffic congestion, intersecting his research to questions surrounding Crash severity, Magnitude and Crash frequency.
Between 2015 and 2021, his most popular works were:
- A novel framework to evaluate pedestrian safety at non-signalized locations. (42 citations)
- Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries (41 citations)
- Exploring the link between the neighborhood typologies, bicycle infrastructure and commuting cycling over time and the potential impact on commuter GHG emissions (38 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
His scientific interests lie mostly in Transport engineering, Pedestrian, Collision, Ordered logit and Econometrics.
He interconnects Measure, Human factors and ergonomics and Cycling in the investigation of issues within Transport engineering.
Many of his research projects under Pedestrian are closely connected to Media access control with Media access control, tying the diverse disciplines of science together.
His Collision research integrates issues from Ranking, Multinomial logistic regression and Statistical model.
His Ordered logit research is multidisciplinary, incorporating elements of Logistic regression, Econometric model and Empirical research.
His Econometrics research is multidisciplinary, incorporating perspectives in Statistics, Multivariate normal distribution and Multivariate statistics.
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