出版物
共同探索问题的记录。
涵盖交通安全、基础设施智能、出行数据与实践的期刊论文、会议论文、报告、综述和书籍。
文献目录15 条当前记录基于简历的清单及学术主页链接
期刊论文
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, 1–17综述保护行人与骑行者的近期摄像感知方法，将视觉感知、运动建模与行为理解连接成主动流程，以更早预判风险并及时干预。
期刊论文
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, 553–564将139个信号交叉口的5480万个轨迹点转化为主动安全指标，检验统计、机器学习和扩散图模型解释五年事故模式的能力。
期刊论文
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), 210–225使用语义分割和街景自动建立道路照明设施清单，在70英里研究网络中实现约0.98精确率、0.90召回率和米级定位。
专业文章
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 Board介绍NCHRP研究报告1152面向实践的用途，以及AI、机器学习和新兴数据如何加强交通安全决策。
会议论文
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, 160–170评估网联车辆数据作为估计交叉口转向流量、支持运行与安全分析的新兴来源。
会议论文
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, 146–159分析大规模多模式运动数据，理解转向行为、道路几何和弱势道路使用者交互如何影响交叉口安全。
研究报告
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 Medicine涵盖六项安全研究的实用指南，介绍如何选择、验证和应用AI/ML方法，利用网联车辆、影像、LiDAR、视频等大数据来源。
期刊论文
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, 100004综述大语言模型如何支持道路安全与出行任务，并讨论数据、验证、可解释性与负责任部署。
综述／预印本
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预印本综合AI感知、预测与干预方法以改善行人与骑行者安全，并提出负责任的未来研究方向。
会议论文
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, 726–738开发车辆动力学框架，研究道路几何与车辆特征如何影响速度曲线及相关安全问题。
研究报告
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 Fairbanks展示识别交通不公平的数据驱动框架，将社区证据转化为更有回应性的投资与规划决策。
研究报告
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 Fairbanks探索常规数据覆盖有限地区的低成本农村交通、路面与天气监测系统。