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E-raamat: NEW HORIZONS of Transport and Communications 2025: Selected Papers from the 10th International Scientific Conference New Horizons of Transport and Communications, TransportaCom X, November 5-8, 2025, Doboj, Bosnia and Herzegovina

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This book reports on innovative research and developments in the broad field of transportation. It covers methods and tools for transport modeling, advances in telecommunications traffic networks and autonomous vehicles. It highlights strategies towards sustainable and inclusive mobility, as well as advances in transport of dangerous goods and smart logistics. Chapters are based on peer-reviewed papers presented at the 10th International Conference  of  Transport and Communications "NEW HORIZONS - TransportaCom X" held on November 5-8, 2025, in Doboj, Republic of Srpska, Bosnia and Herzegovina, at the Faculty of Transport and Traffic Engineering, University of East Sarajevo. All in all, this book offers extensive and timely information to students, researchers and practitioners in the field of transportation, logistics and related interdisciplinary areas. 



 
Comparative assessment of road safety performance the case of the
Republic of Srpska and surroundings.- Analytical model for the determination
of cyclist throw distance and vehicle speed in mutual collisions.- Evaluation
of pedestrian crossings in Doboj based on dashboard camcorder recordings.-
Modeling of moped throw distance in frontal collision Comparative analysis
of polynomial, exponential, and power-law functions.- Toll Motorways
Avoidance and Policy Implications.- Evaluating Climatic Vulnerability of
Saskatchewans Road Network Through Inverse Distance Weighting (IDW) and
Equal Weighting Approaches.- Acceptance and Transferability of Advanced
Traveller Information Systems (ATISs) The Case Study of Novi Sad (Serbia).-
Analysis of Risk Factors and Consequences of Traffic Accidents Involving
Vulnerable Road Users.- Investigation of the Capacity of the Mixed Lane at a
Signalized Intersection Based on the Impact of Light Freight Vehicles.- Road
Traffic Accident Analysis using Machine Learning Techniques A Context of an
African City.- MaaS Personalisation Making Public Transport More Convenient
for Everyone.