Overview:

 

This webinar revisits a pioneering research project that explored the use of Harsh Braking Incidents (HBIs) from heavy goods vehicles as a predictive tool for identifying high-risk collision locations. Although the work was completed nearly a decade ago, its findings are more relevant than ever, especially in light of recent data showing that killed and serious collisions are no longer declining. The session will highlight how HBIs—captured through connected vehicle technologies—can serve as a proactive indicator of collision risk, particularly at complex junctions like roundabouts.


The presentation will also share updated findings from 2018–2023, validating the original predictions and reinforcing the value of integrating near-miss data into road safety strategies. Attendees will gain insights into the modelling techniques used, the challenges of implementation, and the practical implications for policy and infrastructure planning.


What Will Attendees Learn?


•    Why traditional collision data alone is no longer sufficient for proactive road safety.
•    How HBIs can be used as a surrogate measure to predict collision risk.
•    The methodology behind using Random Parameter NB Models to quantify risk.
•    Real-world validation of predictive models using updated collision data.
•    Practical recommendations for integrating connected vehicle data into road safety strategies.

 

Who Should Attend


This webinar is ideal for:


•    Road safety engineers and transport planners
•    Highway authority professionals and policymakers
•    Data analysts and researchers in transport safety
•    Fleet managers and logistics safety officers
•    Anyone interested in proactive, data-driven approaches to reducing road collisions
 

Speaker

 Dr Jwan Kamla, Principal Operational Road Safety Engineer at Jacobs

 Jwan is a Principal Operational Road Safety Engineer at Jacobs. She is a Chartered Engineer with 20 years of experience in highway, traffic, and road safety engineering. Due to her research background, Jwan provides business support around data analysis, interpretations, limitations, and conclusions, with her work being evidence-based on research. Her expertise lies in various aspects of highway engineering, road safety engineering, operational safety, transportation planning, traffic forecasting, speed management and economic assessment of the schemes. In addition, Jwan is competent in using multiple software including GIS tools, database queries, MS Excel, MS Access, AVIS, SPSS, Power BI, Limdep, iRAP, SATWIN, COBALT and TUBA along with techniques to deliver the projects successfully.


Jwan started her journey and career in road safety engineering with a PhD focused on enhancing road safety outcomes. Starting with the fundamentals of the Safe System approach, Jwan explored the complexities of road safety through comprehensive research, utilising big data analytics like harsh braking incident data, and STATS19 collision data, to gain deep insights into collision predictions, crash causation and risk factors.
This foundation in research paved the way for her to apply her knowledge in the operational field. She became actively involved in undertaking Safety Risk Assessments (GG 104), Walking, cycling and horse-riding assessment and review (GG 142), in depth fatal collision investigations along with detailed collision investigations. Each project strengthened her understanding of safety at a network-wide level, allowing her to conduct in-depth evaluations and assessments to influence safety outcomes.


Additionally, her expertise extends to all stages of GG 119 road safety audits (RSA), where she has been significantly involved in the work related to this field of road safety. Jwan’s involvement in the Project Control Framework (PCF) products during design development to completion has allowed her to work closely with multidisciplinary teams, ensuring safety is a core consideration at every project phase.
Jwan actively involved in chairing road safety engineering sessions in various workshops and conferences. She is also currently a guest lecturer giving lectures to universities in the region.


Jwan prior to her PhD has worked as a highway Engineer and as a lecturer at the university, where she supervised students and delivered lectures related to highway, traffic and statistical engineering.

Please note to better support our diverse international audience, we’re pleased to offer captions during this webinar. You can easily switch captions during the session using the toolbar.

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