Milica Milovanovic | Transport Study Program | Excellence in Research Award 

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Ms. Milica Milovanovic | Transport Study Program | Excellence in Research Award 

Ms. Milica Milovanovi | Faculty of Transport and Traffic Engineering, University of Belgrade | Serbia

Ms. Milica Milovanovic, is a young aviation safety researcher whose academic excellence has marked every stage of her career. After completing primary school in 2013 and secondary school in 2017 as a “Vuk Karadžić” award recipient, she enrolled at the Faculty of Transport and Traffic Engineering in 2017, earning her Bachelor’s degree in 2021 and her Master’s degree in 2022. She has been pursuing her PhD studies since 2022, successfully passing all examinations with a perfect GPA of 10.00 and specializing in air transport, aviation safety, risk analysis, and hybrid MCDM methodologies. Milovanović is the author of 7 scientific papers, including 3 high-ranking international journal publications, addressing critical issues such as drone risk in city logistics, the value of statistical life in air and road transport, and multi-criteria decision-making models for safety measures in aircraft operations. Her national journal contributions include analyses of lightning-strike impacts on flight safety and economic assessments of safety-related investments, while her international conference papers examine UAV collision impacts and hybrid decision-making for aviation safety. Her work has garnered growing recognition, with developing citation metrics, an expanding citation count, and an emerging h-index, reflecting increasing academic influence in the field of aviation safety. Through rigorous analyses of aircraft accidents, risk factors, and safety management systems, Milovanović contributes to enhancing the safety performance of air transport systems. Her use of modern methodologies, including Grey Delphi, AHP, ADAM, and hybrid MCDM models, strengthens safety decision-making in aircraft operations. By participating in international scientific conferences, collaborating with leading researchers, and publishing in indexed journals, she advances scientific understanding of aviation safety and risk management. Her research supports evidence-based policymaking, improved operational safety, and the development of resilient air transport systems, demonstrating her growing impact as a researcher dedicated to the advancement of aviation safety science.

Profile: Orcid

Featured Publications

Milovanović, M., Vujačić Petrović, J., Čokorilo, O., Vasov, L., Mirosavljević, P., Stojiljković, B., & Marina, M. (2025). Analysis of the value of statistical life in traffic accidents based on investments evaluation. Tehnika.

Tadić, S., Milovanović, M., Krstić, M., & Čokorilo, O. (2025). Selection of safety measures in aircraft operations: A hybrid Grey Delphi–AHP–ADAM MCDM model. Eng, 6(11), 295.

Milovanović, M., Čokorilo, O., Ivković, I., Stojiljković, B., & Vasov, L. (2024). The value of statistical life in air and road transport. Aircraft Engineering and Aerospace Technology.

Marina, M., Čokorilo, O., Mirosavljević, P., Vasov, L., Stojiljković, B., & Milovanović, M. (2024). Analysis of the impact of UAV collision on a commercial aircraft. 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE.

Tadić, S., Krstić, M., Veljović, M., Čokorilo, O., & Milovanović, M. (2024). Risk analysis of the use of drones in city logistics. Mathematics, 12(8), 1250.

Milovanovic, M., Čokorilo, O., & Čokorilo, S. (2022). Analysis of the impact of lightning strikes on flight safety. International Journal for Traffic and Transport Engineering, 12(3), Article 05.

Shiwei Li | Transportation Planning | Best Researcher Award

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🌟Assoc Prof Dr. Shiwei Li, Transportation Planning, Best Researcher Award🏆

Associate Professor at Lanzhou Jiaotong University, China

Li Shiwei is an accomplished Associate Professor and the Director of the Scientific Research Office at Lanzhou Jiaotong University. With a PhD in Transportation Planning and Management, Li is a leading research scholar in the field of transportation systems, artificial intelligence, and data mining. His academic career is marked by significant contributions to both teaching and research, positioning him as a key figure in the development of intelligent transportation solutions.

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ORCID Profile

Li Shiwei has published over 30 academic papers, contributing extensively to the field of transportation and intelligent systems. His work has been recognized with more than 20 academic awards, highlighting his influence and the high regard in which his peers hold his research. Additionally, Li has edited one monograph, further demonstrating his expertise and commitment to advancing knowledge in his discipline.

Education

Li Shiwei received his PhD in Transportation Planning and Management from Lanzhou Jiaotong University in April 2020. Prior to this, he earned a Master’s degree in Management Science and Engineering from Southwest Jiaotong University in January 2006, and a Bachelor’s degree in Information Management and Information Systems from Northwest Normal University in June 2003. This solid educational foundation underpins his research and teaching excellence.

Research Focus

Li Shiwei’s research directions encompass comprehensive transportation informatization, intelligent transportation systems, complex system analysis and optimization, autonomous driving, artificial intelligence, and traffic big data mining. His work aims to address contemporary challenges in transportation through the integration of advanced technologies and data-driven approaches.

Professional Journey

Throughout his career, Li Shiwei has held key academic and administrative positions. As an Associate Professor and Director of the Scientific Research Office at Lanzhou Jiaotong University, he has played a pivotal role in guiding research initiatives and fostering academic excellence. His professional journey is characterized by a commitment to innovation and the development of cutting-edge transportation solutions.

Honors & Awards

Li Shiwei has been the recipient of more than 20 academic awards, reflecting his outstanding contributions to research and academia. These accolades underscore his expertise and the impact of his work on the field of transportation and intelligent systems.

Publications Noted & Contributions

With over 30 academic papers published, Li Shiwei has made significant contributions to the body of knowledge in his field. His publications address critical issues in transportation and intelligent systems, offering new insights and proposing innovative solutions. Additionally, he has edited one monograph, further establishing his authority and thought leadership in the discipline.

A Road Data Assets Revenue Allocation Model Based on a Modified Shapley Value Approach Considering Contribution Evaluation

Journal: Scientific Reports
Publication Date: 2024-03-02
DOI: 10.1038/s41598-024-55819-7
ISSN: 2045-2322
Contributors: Shiwei Li, Lei Chu, Jisen Wang, Yuzhao Zhang

This article introduces a novel revenue allocation model for road data assets, which is based on a modified Shapley value approach. The model incorporates a thorough evaluation of each contributor’s input to ensure a fair and balanced distribution of revenue among stakeholders. This method enhances traditional allocation models by providing a more accurate reflection of individual contributions to the overall asset value.

Simulation of Cross-Pedestrian Flow in Intersection Based on Direction Fuzzy Visual Field

Journal: IET Intelligent Transport Systems
Publication Date: 2024-01-31
DOI: 10.1049/itr2.12486
Contributors: Shiwei Li, Qianqian Li, Jiao Xu, Yuzhao Zhang

This study presents a simulation model for cross-pedestrian flow at intersections, utilizing a direction fuzzy visual field approach. The research aims to improve the understanding of pedestrian behavior in complex traffic environments, providing insights that could enhance traffic management and pedestrian safety measures.

Simulation of Bi-directional Pedestrian Flow in Corridor Based on Direction Fuzzy Visual Field

Journal: Scientific Reports
Publication Date: 2023-11-07
DOI: 10.1038/s41598-023-46530-0
ISSN: 2045-2322
Contributors: Shiwei Li, Qianqian Li, Ganglong Zhong, Yuzhao Zhang

In this article, the authors develop a simulation model to analyze bi-directional pedestrian flow in corridors, using a direction fuzzy visual field. The study aims to provide a deeper understanding of pedestrian dynamics in confined spaces, which can inform the design of more efficient and safer public infrastructures.

Simulation Study on Pedestrian Strategy Choice Based on Direction Fuzzy Visual Field

Journal: Journal of Ambient Intelligence and Humanized Computing
Publication Date: 2020-02-09
DOI: 10.1007/s12652-019-01389-w
Contributors: Shi-wei Li, Jian-qiang Wang, Yu-zhao Zhang

This research investigates pedestrian strategy choices using a direction fuzzy visual field approach. The simulation study provides insights into how pedestrians make navigational decisions, which can be applied to improve pedestrian flow management and urban planning.

Impact of Personalised Route Recommendation in the Cooperation Vehicle-Infrastructure Systems on the Network Traffic Flow Evolution

Journal: Journal of Simulation
Publication Date: 2019-10-02
DOI: 10.1080/17477778.2018.1515579
ISSN: 1747-7778, 1747-7786
Contributors: Jianqiang Wang, Wenjuan Zhou, Shiwei Li, Danlei Shan

This article explores the effects of personalized route recommendations in cooperative vehicle-infrastructure systems on the evolution of network traffic flow. The study highlights how tailored route suggestions can optimize traffic distribution, reduce congestion, and enhance overall traffic efficiency.

Research Timeline

Li Shiwei’s research career has seen him lead or participate in the completion of over 60 projects. These projects span various prestigious foundations and collaborative initiatives, including the National Natural Science Foundation, the National Humanities and Social Science Foundation, and the Ministry of Education Industry-Education Integration Project. His research timeline is marked by continuous engagement with complex and impactful studies.

Collaborations and Projects

Li Shiwei has been involved in numerous collaborative projects, working with both academic institutions and industry partners. Notable collaborations include the Tianjin University-Lanzhou Jiaotong University Independent Innovation Fund Cooperation Project and the School-Enterprise Cooperation Project. His ability to bridge academia and industry has facilitated the successful implementation of innovative research projects.

Teaching Work

Li Shiwei is dedicated to educating the next generation of professionals in his field. He teaches master’s courses such as “Artificial Intelligence and Applications” and “Transportation and Logistics Data Analysis and Mining,” as well as undergraduate courses including “Principles of Management,” “Information Economics,” “Enterprise Resource Planning,” “Organizational Behavior,” and “Production Operation Management.” His teaching work reflects his broad expertise and commitment to academic excellence.