Cestel’s Post

New Publication Alert! 📢 I am thrilled to announce the publication of our new article, "Enhancing work zone crash severity analysis: The role of synthetic minority oversampling technique in balancing minority categories," published in a reputed journal of Accident Analysis & Prevention. In this study, we analyzed 7,855 work zone crashes in Tennessee (2018-2022) to understand how human behavioral factors impact injury severity. By using both traditional statistical methods and machine learning technique Random Forest, along with SMOTE to address data imbalances, we discovered that balancing underrepresented data (such as fatal and serious injuries) significantly alters the factors contributing to crash injury severity. These insights are crucial for traffic safety engineers and policymakers to improve work zone design and management. A special thanks to my Ph.D. advisor, Professor Asad Khattak, Ph.D., and my co-authors, Professor Sabyasachee Mishra, Ph.D., and Dr. Diwas Thapa, PhD for their invaluable guidance and support throughout this research journey. You can access the full article for free for a limited time using the personalized link below. https://lnkd.in/eqWV2K7r #TransportationEngineering #RoadSafety #TrafficResearch #CrashAnalysis #WorkZone #MachineLearning #humanBehavioralFactors #SMOTE #UTK

Identifying the Components of Artificial Intelligence in Improving Safety, Reducing Traffic Crashes and Costs with Content Analysis https://lnkd.in/dCqJ-uzG

Do you want to make your Pavement Management easier, then join today's WEBINAR that I am putting on; register here - https://lnkd.in/gdpCJKuU #boma #ifma #cfhla #irem #appa #aago #fefpa

The new edition of Traffic Technology International (TTi) is here! Click below for our article on the Structural Bridge WIM Diagnostics Systems! #bridgeWIM #SHM #bridges

TR part C: Traffic state estimation (TSE) is indeed vital for Traffic Monitoring and Management (TMM). In a recent work with my ex-PhD student Dr. Xuan-Sy Trinh at CTSLAB, we proposed a stochastic traffic estimation framework using multi-source data for urban arterial traffic. In particular, a novel stochastic Switching Mode Model applicable to arterial roads (considering both signalized and unsignalized intersections) has been proposed. Various filtering algorithms (i.e. incremental stochastic Kalman Filter (SKF), incremental stochastic Unscented Kalman Filter (SUKF), and a hybrid approach) have been implemented. The proposed method has been tested using realistic simulation data from a popular arterial road (Moorhouse Avenue) in Christchurch city, New Zealand and also validated versus real data from a segment of Princes corridor in the city of Melbourne, Australia. In collaboration with A/Prof. Dong Ngoduy (institute of Transport Studies, Monash University, Australia) and A/Prof. Blair Robertson (UC, NZ) #CTSLAB #Trafficengineering #Trafficmanagement #Trafficmonitoring #Trafficestimation #NEWZEALAND #AUSTRALIA

ArcGIS Roads and Highways streamlines roadway management by integrating data, enabling efficient maintenance, planning, and operations. It enhances decision-making with tools for asset tracking, event management, and spatial analysis, ensuring safer, well-maintained transportation networks. . #ArcGIS #RoadsAndHighways #GIS #TransportationManagement #SpatialAnalysis #Infrastructure #AssetManagement #GeospatialTechnology #Mapping #UrbanPlanning #hexamap #hexamapsolutions #esripartner #hank

☝ New paper alert: Simulation of emergency evacuation with crowd-gathering risk and evaluation methods Hsu in this Transport Planning and Technology Journal paper shared insights from a study on improving emergency evacuations in Taipei's Mass Rapid Transit (MRT) system. As urban areas grow and transit systems handle increasing passenger volumes, ensuring safe and efficient evacuations during emergencies is critical. 🔍 Study Focus: This research aimed to tackle the risks of crowd-gathering and panic in underground MRT stations. The author used advanced modelling and simulation techniques to develop effective evacuation strategies, particularly during peak hours. 🔧 Methodology: The author built a detailed spatial model of MRT stations using Building Information Modeling (BIM) and Pathfinder evacuation simulation software. By analyzing pedestrian flow, speed, density, and individual characteristics, this study simulated various emergency scenarios, including earthquakes, to assess evacuation times and routes. 📊 Key Findings & Recommendations: - Identified critical congestion points like platform levels and ticket gates. - Proposed crowd-control measures and widening of exits to enhance evacuation efficiency. - Recommended suspension of subway services during extreme emergencies. These findings aim to inform policy decisions, improving emergency preparedness and ensuring the safety of passengers. 🔗 https://bit.ly/3XkxugR #EmergencyManagement #UrbanPlanning #PublicSafety #CrowdControl

✨ Exciting News! ✨ Thrilled to Share our Latest Publication! I’m excited to announce that our paper, “Simulating winter maintenance efforts: A multi-linear regression model”, has been published in Cold Regions Science and Technology Journal! This paper represents a significant milestone in my exciting PhD project which focuses on developing a simulation tool to analyze winter road maintenance services using a spatial-statistical approach. ❗ Despite its crucial role in ensuring road safety and mobility, winter road maintenance (WRM) faces challenges due to high expenses and considerable environmental impacts! ✅ In this work, we developed a model to simulate and predict the needed amount of winter road maintenance operations such as plowing and salting, for each segment of Norway's state roads network. By analyzing factors like road geometry, weather patterns, and level of service, the model offers insights into optimizing maintenance efforts, balancing costs, environmental impact, and road safety. You can find the full paper here: https://lnkd.in/d7tSvTGT   🙏 This work wouldn’t be possible without the incredible support from my wonderful supervisor Professor Alex Klein-Paste and my co-supervisor Dr Kai Rune Lysbakken. Your unwavering support, guidance, and encouragement have made all the difference in this journey. My heartfelt thanks to Katja-Pauliina Skille and her team at “Teknologi Drift og Vedlikehold” department - Statens vegvesen - Norwegian Public Roads Administration - Trondheim, for their invaluable support. I also want to extend my deep gratitude to Ketil Dahl , Dagfinn Brotnow , and their team in Mesta Co. for the fruitful collaborations. 📤 If you find this research interesting, please feel free to share it with your colleagues and friends! #WRM #GIS #Sustainability #NTNU #NewPublication

📢 Published in Smart Construction! 🌟 Discover cutting-edge research in our latest article: "Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions." This innovative study uses computer vision to change the way we monitor and maintain bridge integrity. 🚧🔍 Don't miss out on the advancements in bridge engineering and infrastructure safety! #SmartConstruction #BridgeEngineering #ComputerVision #InfrastructureSafety #Innovation 🔗 https://lnkd.in/ectjmX3i