Enrique D. Saldivar-Carranza
Engineering · Purdue University West Lafayette
Publications
37
Citations
315
Est. group size
~6
Recurring co-author estimate
Active years
6
Publishing since 2020
This researcher works on traffic engineering, focusing on how data from connected vehicles, LiDAR sensors, and traffic signal controllers can be used to measure and improve the performance of traffic signals, intersections, and roadway networks. Much of the work involves developing methods to detect problems like signal timing failures or unsafe braking events at intersections using large-scale vehicle trajectory data, with practical applications for transportation agencies managing traffic systems. The research also touches on related topics like border crossing delays and truck driver alert systems.
Publication output grew substantially from 2020 to 2024, with a notable increase in 2024 output after a dip in 2022, suggesting an overall growing trend over the past five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Business Processes to Prioritize Traffic Signal Retiming and Assess the Impact of Retiming Activities
2025
- Vehicle and Pedestrian Traffic Signal Performance Measures Using LiDAR-Derived Trajectory Data
Sensors · 2024
- Methodology for Monitoring Border Crossing Delays with Connected Vehicle Data: United States and Mexico Land Crossings Case Study
Future Transportation · 2024
- Deriving Verified Vehicle Trajectories from LiDAR Sensor Data to Evaluate Traffic Signal Performance
Future Transportation · 2024
- Impact of Privacy Filters and Fleet Changes on Connected Vehicle Trajectory Datasets for Intersection and Freeway Use Cases
Smart Cities · 2024
- Comparison at Scale of Traffic Signal Cycle Split Failure Identification from High-Resolution Controller and Connected Vehicle Trajectory Data
Future Transportation · 2024
- Large Scale Evaluation of Normalized Hard-Braking Events Derived from Connected Vehicle Trajectory Data at Signalized Intersections, Roundabouts, and All-Way Stops
Future Transportation · 2024
- Intersection Type Classification from Connected Vehicle Data Using a Convolutional Neural Network
Data Science for Transportation · 2024
- An Update on Passenger Vehicle Speeds at Roundabouts
Smart Cities · 2024
- Impact of In-Cab Alerts on Connected Truck Speed Reductions in Indiana
Vehicles · 2024
- Statewide Screening of Signalized Intersections for Capacity Improvements
2024
- Deriving a Purdue Probe Diagram from Connected Vehicle Waypoint Data
2024
- Systemwide Identification of Signal Retiming Opportunities with Connected Vehicle Data to Reduce Split Failures
Transportation Research Record Journal of the Transportation Research Board · 2023
- Comparison of Arrivals on Green Estimations from Vehicle Detection and Connected Vehicle Data
Transportation Research Record Journal of the Transportation Research Board · 2023
- Comparison of Estimated Cycle Split Failures from High-Resolution Controller Event and Connected Vehicle Trajectory Data
Journal of Transportation Technologies · 2023
- Journal of Transportation Technologies×8
- Transportation Research Record Journal of the Transportation Research Board×4
- Future Transportation×4
- Smart Cities×2
- Journal of Big Data Analytics in Transportation×1
- Benjamin Coifman
Engineering · The Ohio State University
- Darcy M. Bullock
Engineering · Purdue University West Lafayette
- Howell Li
Engineering · Purdue University West Lafayette
- Edward D. Cox
Engineering · Purdue University West Lafayette
- Jairaj Desai
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile