Publications
A record of questions pursued together.
Journal articles, conference papers, research reports, reviews, and books across transportation safety, infrastructure intelligence, mobility data, and practice.
Journal article
From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety
Shucheng Zhang, Yan Shi, Bingzhang Wang, Yuang Zhang, Muhammad Monjurul Karim, Kehua Chen, Chenxi Liu, Mehrdad Nasri, and Yinhai WangIEEE Transactions on Intelligent Transportation Systems, published online July 20, 2026, 1–17Reviews recent camera-based methods for protecting pedestrians and cyclists, connecting visual perception, motion modeling, and behavior understanding into a proactive pipeline for earlier risk anticipation and timely intervention.
Journal article
Can surrogate safety measures explain crash patterns at signalized intersections? Evidence from network-wide connected-vehicle data using negative binomial, random forest, and diffusion GNN models
Mehrdad Nasri, Jingyi He, Muhammad Munjurul Karim, Shucheng Zhang, and Yinhai WangJournal of Safety Research, 97, 553–564Transforms 54.8 million trajectory points at 139 signalized intersections into proactive safety indicators, then tests how well statistical, machine-learning, and diffusion-graph models explain five years of crash patterns.
Journal article
Leveraging image semantic segmentation for road infrastructure localization in traffic safety applications
Mehrdad Nasri, Shuyi Yin, Yinhai Wang, and Venky ShankarTransportation Research Record, 2680(4), 210–225Uses semantic segmentation and street-level imagery to automate roadway-luminaire inventories, with approximately 0.98 precision, 0.90 recall, and meter-scale localization across a 70-mile study network.
Professional article
NCHRP Research Report 1152: Leveraging AI and big data to enhance safety analysis
Mehrdad Nasri and Yinhai WangTR News, Issue 357, Spring 2026, Transportation Research BoardIntroduces the practitioner-facing purpose of NCHRP Research Report 1152 and how AI, machine learning, and emerging data can strengthen transportation-safety decisions.
Conference paper
Leveraging AI and machine learning for safety assessment: Analyzing connected vehicle data for turning movement counts at intersections
Mehrdad Nasri, Shuyi Yin, and Yinhai WangInternational Conference on Transportation and Development 2025, 160–170Evaluates connected-vehicle data as an emerging source for estimating intersection turning movements and supporting traffic-operations and safety analysis.
Conference paper
Comprehensive analysis of multi-modal road user behavior using big data: Implications for intersection safety
Mehrdad Nasri, Shuyi Yin, Yinhai Wang, and Venky ShankarInternational Conference on Transportation and Development 2025, 146–159Examines large-scale multimodal movement data to understand how turning behavior, roadway geometry, and interactions with vulnerable road users shape intersection safety.
Research report
Leveraging artificial intelligence and big data to enhance safety analysis: A guide
Yinhai Wang, Shuyi Yin, Mehrdad Nasri, Chenxi Liu, Shucheng Zhang, Venky Shankar, Narayan Venkataraman, Rohan Shrestha, Brian Chandler, Lacy Brown, Nikki Davis, Houssam Ghandour, Fred Mannering, Janet Gates, and Joey CaiNCHRP Research Report 1152, National Academies of Sciences, Engineering, and MedicineA practical guide to choosing, validating, and applying AI/ML methods with connected vehicles, imagery, LiDAR, video, and other big-data sources across six safety research studies.
Journal article
Large language models and their applications in roadway safety and mobility enhancement: A comprehensive review
Muhammad Monjurul Karim, Yan Shi, Shucheng Zhang, Bingzhang Wang, Mehrdad Nasri, and Yinhai WangArtificial Intelligence for Transportation, 1, 100004Reviews how large language models can support roadway-safety and mobility tasks while addressing data, validation, interpretability, and responsible-deployment questions.
Review / preprint
A comprehensive review on artificial intelligence empowered solutions for enhancing pedestrian and cyclist safety
Shucheng Zhang, Yan Shi, Bingzhang Wang, Yuang Zhang, Muhammad Monjurul Karim, Kehua Chen, Chenxi Liu, Mehrdad Nasri, and Yinhai WangarXiv preprintSynthesizes AI-enabled sensing, prediction, and intervention approaches for improving pedestrian and cyclist safety and identifies directions for responsible future research.
Conference paper
Developing a vehicle dynamic model for analyzing the impact of roadway and vehicle characteristics on speed profiles
Mehrdad Nasri and Yinhai WangInternational Conference on Transportation and Development 2024, 726–738Develops a vehicle-dynamics framework for examining how roadway geometry and vehicle characteristics influence speed profiles and the safety questions built on them.
Research report
Comprehensive transportation equity analysis for RITI community: A data-driven approach with case study
Yinhai Wang, Wei Sun, Sam Ricord, Cesar Maia de Souza, Yifan Ling, Yan Shi, Bingzhang Wang, and Mehrdad NasriCenter for Safety Equity in Transportation, University of Alaska FairbanksDemonstrates a data-driven framework for identifying transportation inequities and translating community-level evidence into more responsive investment and planning decisions.
Research report
Cost-effective system for rural roadway traffic, surface conditions and weather conditions monitoring
Yinhai Wang, Wei Sun, Sam Ricord, Cesar Maia de Souza, Yifan Ling, Yan Shi, Bingzhang Wang, and Mehrdad NasriCenter for Safety Equity in Transportation, University of Alaska FairbanksExplores a cost-effective monitoring system for rural traffic, pavement-surface, and weather conditions where conventional data coverage is limited.