John N. Ivan
Professor/Civil and Environ Engineering

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Scholarly Contributions

161 Scholarly Contributions

57
Journal Articles
54
Conference Proceedings
20
Other Scholarly Works
16
Books
11
Poster/Presentations
3
Book Chapters
Modeling Attacker-Technology System Interaction in Transportation Networks: P2I3-Model
2024
Nicholas Lownes, Qixing Wang, Lance Fiondella, Sanguthevar Rajasekaran, John N Ivan, Sherif Tolba, Reda A Ammar
Research Type: Conference Proceedings

Smart Phone Assisted City-scale Wireless Sensor Network Deployment for Transportation System Monitoring.
2024
John N Ivan, Reda A Ammar, Lance Fiondella, Nicholas Lownes, Sanguthevar Rajasekaran, Jun Liu
Research Type: Conference Proceedings

Social Network Effects on Attitudes about Pedestrian Street Crossing Behavior: Preliminary Findings
2024
John N Ivan, N Ravishanker, Sha Al Mamun, Zhang Yaohua, Caraballo Franklin, Rebecca Townsend
Research Type: Conference Proceedings

Integrating Equilibrium Assignment in Game-theoretic Approach to Measure Many-to-Many Transportation Network Vulnerability
2024
Sanguthevar Rajasekaran, Sherif Tolba, Qixing Wang, John N Ivan, Reda A Ammar, Lance Fiondella, Nicholas Lownes
Research Type: Conference Proceedings

Effectiveness of Traffic Calming Treatments at Unsignalized Crossings for Improving Pedestrian Safety in Connecticut
2024
Yaohua Zhang, Sha Al Mamun, N Ravishanker, John N Ivan, Eamon Flannery
Research Type: Conference Proceedings

VDPA: A WSN Deployment and Analysis Tool for Road Network Security
2024
Sanguthevar Rajasekaran, John N Ivan, Nicholas Lownes, Sherif Tolba, Lance Fiondella, Reda A Ammar
Research Type: Conference Proceedings

A Game Theory Approach to Identify Alternative Regulatory Frameworks for Hazardous Materials Routing.
2024
Lance Fiondella, Sanguthevar Rajasekaran, John N Ivan, Nicholas Lownes, Reda A Ammar, Ashrafur Rahman
Research Type: Conference Proceedings

Game Theoretic Vulnerability Analysis for the Optimal Defense of High Speed Rail
2024
Sanguthevar Rajasekaran, Sherif Tolba, Ashrafur rahman, Jun Liu, Lance Fiondella, Nicholas Lownes, Reda A Ammar, John N Ivan
Research Type: Conference Proceedings

Implementation of a realistic artificial data generator for crash data generation
2024
John N Ivan, Karthik Konduri, Tanmoy Bhowmik, Joshua Auld, Kai Wang, Md Jahan, Naveen Eluru, Lauren Hoover, Sudipta Tirtha, Shanshan Zhao
Research Type: Journal Article

Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis
2024
John Ivan
Research Type: Journal Article

https://doi.org/10.1016/j.aap.2024.107478
Application of Realistic Artificial Data for Testing Various Crash Safety Analyses: A Case Study for Rural Two-Lane Undivided Highways
2024
John Ivan
Research Type: Journal Article

https://doi.org/10.1177/03611981231175901
Analyzing the Suitability of Vehicle Telematics Data as a Surrogate Safety Measure for Short-Term Crashes
2024
John Ivan
Research Type: Journal Article

https://doi.org/10.1177/03611981241263341
DREDGE (Disaggregate Realistic Artificial Data Generator)—Design, Development, and Application for Crash Safety Analysis, Volume I
2024
Naveen Eluru, Oluwaseun Olufowobi, Lauren Hoover, Md Jahan, Shanshan Zhao, Kai Wang, Mohamed Abdel-Aty, Sudipta Tirtha, John N Ivan, Tanmoy Bhomik
Research Type: Other Scholarly Work

DREDGE (Disaggregate Realistic Artificial Data Generator)—Design, Development, and Application for Crash Safety Analysis, Volume II
2024
Kai Wang, Sudipta Tirtha, John N Ivan, Tanmoy Bhomik, Naveen Eluru, Md Jahan, Mohamed Abdel-Aty, Shanshan Zhao, Oluwaseun Olufowobi, Lauren Hoover
Research Type: Other Scholarly Work

User’s Guide for Quantifying the Effects of Vehicle Mix on Crash Frequency and Crash Severity
2024
Shanshan Zhao, Ashraful Parvez, John N Ivan, Mohamed Abdel-Aty, Tanmoy Bhowmik, Naveen Eluru, Manmohan Joshi, Kai Wang, Shahrior Pervaz, Lauren Hoover
Research Type: Other Scholarly Work

The Effect of Vehicle Mix on Crash Frequency and Crash Severity
2024
Kai Wang, Shanshan Zhao, Ashraful Parvez, John N Ivan, Mohamed Abdel-Aty, Naveen Eluru, Tanmoy Bhowmik, Manmohan Joshi, Lauren Hoover, Shahrior Pervaz
Research Type: Other Scholarly Work

What Goes Around Comes Around: Would Early 20th Century Street Discipline Be Safer for Connected and Automated Vehicles?
2024
John N Ivan
Research Type: Poster/Presentation

Spatio-temporal Analysis of Pedestrian Crashes: Unraveling Socio-demographic Influences and Trends
2024
Manmohan Joshi, John N Ivan
Research Type: Poster/Presentation

Using Logistic Regression to Evaluate Pedestrian–Vehicle Interaction Severity at Side Street Green and Exclusive Phase Signals
2023
John Ivan
Research Type: Journal Article

https://doi.org/10.1177/03611981231159120
Driver Psychology Latent Classes as Predictors of Traffic Incident Occurrence in Naturalistic Driving Study Data
2023
John Ivan
Research Type: Journal Article

https://doi.org/10.1177/03611981221108985