Promet – Traffic&Transportation

We are excited to announce the release of Volume 36, Issue 5 of Promet – Traffic&Transportation! This issue brings you groundbreaking research across a variety of transportation disciplines, including: ✅ High-speed maglev systems and their economic feasibility ✅ Advanced signal plan optimization using expert systems ✅ Risk analysis in level crossing failures within fuzzy environments ✅ A bibliometric review of traffic accident prediction studies ✅ Cutting-edge methods for vehicle trajectory prediction and airport efficiency ✅ Sustainable e-scooter use, connected vehicles, and much more! Check out the full list of articles and explore the latest innovations in traffic science: 👉 https://lnkd.in/duUx4pTF 📖 Dive into the articles directly: ·  Optimising the Economic Feasibility of High-Speed Maglev Systems https://lnkd.in/dihH2fQT ·  A Review of Expert Systems Integration in Signal Plan Optimisation https://lnkd.in/dpRvcbsk ·  Risk Analysis of Level Crossing Element Failures in a Fuzzy Environment https://lnkd.in/dvPqdRSy ·  Bibliometric Analysis of Traffic Accident Prediction Studies from 2003 to 2023 https://lnkd.in/dPE2_Jbf ·  Implications of Retrograde Behaviours on Visual and Cycling Behaviour of Normal Cyclists https://lnkd.in/d7T4QYTc ·  Vehicle Trajectory Prediction Based on GAT and LSTM Networks in Urban Environments https://lnkd.in/dQ63gNHX ·  Research on the Efficiency of Major Airports in China’s Six Major Airport Cluster https://lnkd.in/d8gw3iHg ·  Factors Influencing Sustained Use of Shared E-Scooter Services in Urban Taiwan https://lnkd.in/dwxvkwZ9 ·  College Students’ Cognition and Attitude Towards Connected and Autonomous Vehicles in China https://lnkd.in/dEeygWYk ·  Wireless Channel Propagation Model for Inland Waterway Bridge Scenario https://lnkd.in/d6g8snJa ·  Estimating Vehicle Turn-In Rate of Expressway Rest Areas via ETC Gantry Data https://lnkd.in/du6392Re ·  A Deep Learning Approach for Enhanced Real-Time Prediction of Winter Road Surface Temperatures https://lnkd.in/dn_PFTTS ·  A Study on the Impact of Overtaking Lane-Changing Behaviour in Expressway Interchange Weaving Areas https://lnkd.in/dbzysHrP 📢 Join the conversation! 👏 Special thanks to our authors: Yong Cui, Qing Yu, Ullrich Martin, Luka Dedić, Miroslav Vujic, Milivoje Ilić, Đorđe Maksimović, Norbert Pavlović, Ivan Belošević, Mesut ULU, Yusuf Sait Turkan, Baojie Wang, Wei Yang, Ziyao Liu, Guohua Liang, Xuelong Zheng, Xuemei Chen, Yaohan Jia, Qing Liu, Qiwei Qian, Fei-Hui Huang, Wei Li, Tian’ai Li, Yongying Meng, Xuecai(Daniel) Xu, Zhifeng Ma, Yi Zhang, Wenfei Hu, JunWu Zhang, Jing Zhang, Yubin Zheng, Cheng Cheng, Yong Zhang, Lingyi Wang, Qixuan Li, Hailin Zhang, Meng Zhang, Hua Guo, Jing-Yang Li, Li Li, Feng Zhu, Minghao Li, Yi Zhao, Jianxiao Ma, Yuxin Chen, and Shuo Huai!

🚗🤖 How will autonomous vehicles shape the future of freeways? This week's latest research published in Promet – Traffic&Transportation features: "Factors Affecting the Impact of Autonomous Vehicles on Freeway Operations – An Exploratory Analysis Using PCEs" by Renan Favero and Jose Reynaldo Setti. This study examines the interplay between autonomous and traditional vehicles, using Passenger Car Equivalents (PCEs) to uncover the effects on traffic flow, capacity, and infrastructure. 📖 Read the full article here: https://lnkd.in/dH82ciQG 💡 Key takeaways: • Insights into mixed traffic scenarios with autonomous vehicles. • Guidance for infrastructure planning in a smarter mobility era. The road to the future starts here! 🌟 #AutonomousVehicles #SmartMobility #TrafficEngineering #TransportationResearch

🚴♂️ How can micromobility transform urban transportation? We’re thrilled to feature this interesting research published in Promet – Traffic&Transportation: "Challenges of the Integration of Micromobility Vehicles into Modern Traffic and Transportation Systems" by Branko Milovanović, Ana Trpković, Sreten Jevremović, Predrag Živanović, Stanko Bajcetic, Andrea Nađ. This paper examines how micromobility vehicles like e-bikes and e-scooters can be sustainably integrated into urban transport systems, addressing challenges such as infrastructure, regulations, and safety. The study offers globally applicable guidelines for better urban mobility. 📖 Read the full article here: https://lnkd.in/d23GSQgB 💡 Key highlights: • Recommendations for safe and efficient micromobility integration. • Insights into infrastructure design and regulatory frameworks. • Practical applications for decision-makers and urban planners. Let’s ride toward a greener future! 🌱 #Micromobility #UrbanMobility #Sustainability #TransportationResearch #SmartCities

🚦 How can expert systems revolutionize traffic signal optimisation? We are thrilled to feature the latest research published in Promet – Traffic&Transportation: "A Review of Expert Systems Integration in Signal Plan Optimisation" by Luka Dedić and Miroslav Vujic. This study explores how integrating artificial intelligence tools like fuzzy logic, neural networks, and reinforcement learning can enhance urban traffic management. With a focus on real-time data from automatic licence plate recognition systems, the authors propose scalable solutions to minimize delays and emissions while improving traffic flow. 📖 Read the full article here: https://lnkd.in/dyFbWYtN 💡 Key insights: • Adaptive traffic signals reduce delays and enhance flow efficiency. • Expert systems enable real-time decision-making with advanced algorithms. • Multi-agent systems offer scalable solutions for urban networks. Let’s drive toward smarter, sustainable traffic systems! 🚘🌱 #TrafficManagement #AI #UrbanMobility #SmartCities #TransportationResearch #TrafficandTransportation

"How Do Land Use, Built Environment and Transportation Facilities Affect Bike-Sharing Trip Destinations?" by Ahmed Jaber, Ph.D. and Bálint Csonka 🌆🚲 We’re excited to feature this standout article as one of last year’s best-received publications in Promet – Traffic&Transportation! This study delves into how factors like land use, public transportation stops, and road networks influence where bike-sharing trips end—using data from Budapest, Hungary. The authors utilized advanced regression techniques and geographic analysis to uncover key insights for urban planners and decision-makers. 🔗 Read the full article here: https://lnkd.in/dcpW4g4Z 💡 Key findings: • Touristic points of interest significantly attract bike-sharing trips. • Residential zones play a pivotal role in trip destinations. • Dense road networks and traffic signals can deter bike-sharing usage. • Public transport stops encourage bike-and-ride systems. 📊 The study also highlights the superiority of geographically weighted regression models for predicting trip patterns, offering valuable tools for creating sustainable urban mobility solutions. Let’s pave the way for smarter, greener transportation! 🌱 #UrbanMobility #BikeSharing #Sustainability #TransportationResearch #TrafficAndTransportation #SmartCities

🚨 Welcome to Vol. 36 No. 4 edition of Promet – Traffic&Transportation journal! In this issue, we bring you the latest research and innovative solutions in transportation science. From cost-benefit analysis and sustainable transportation systems to optimised network flows and traffic speed predictions, this edition covers a wide array of cutting-edge topics. 📊 Featured articles include: - Comprehensive sensitivity analysis of cost-benefit variables for transport interventions - Sustainable transportation systems with bottom-up traffic modal choices - Cost optimisation tool for telecommunication networks - Prediction of taxi-in time for decentralised terminal layouts - Vehicle trajectory adjustments in freeway tunnels - Optimising electric flex-route feeder transit with wireless charging - Traffic speed prediction for road weaving sections - Modelling passenger travel behaviour for autonomous vehicles and buses - Cognitive load differences between elderly and young pedestrians - Dissipative structure properties of traffic flow in expressway weaving areas - Obstacle avoidance path planning for autonomous vehicles using genetic algorithms - Evaluation of data source importance for highway networks - Optimised LSTM neural network for traffic speed prediction 🔍 Stay ahead in the world of transportation research by exploring these groundbreaking studies. Don't miss out – read the full articles in Promet – Traffic&Transportation! 📖 Read the latest issue here: https://lnkd.in/d3a97gxH 👏 Special thanks to our authors: Mattias Juhász, Tamas Matrai, Andrei Agache, Timea Csma, Marian Mocan, Larisa Ivascu, Snežana Mladenović, Ivana Stefanović, Sladjana Jankovic, Ana Uzelac, Goran Marković, Stefan Zdravkovic, Xiaowei Tang, Mengfan Ye, Shengrun Zhang, Kurt Fuellhart, Runzhao Bei, Hongliang Wan, Zhigang Du, Ting Huang, Lei Han, Jialin Mei, Tianyang Gao, Dawei Hu, Gang Chen, Steven Chien, Bingshan Ma, Yuming Zhou, Min Zhang, Chi Zhang, Zilong Xie, Bo Wang, Yaning Wang, Yueying Huo, Xuebin Zhang, Huiling Zhang, Dan Peng, Xinyi Shi, Weihua Zhang, Lijun Xiong, Qingtong Ji, Huiwen Liu, Fan Zhang, Huiting Chen, Xiaofeng Weng, Fei Liu, Sheng Zhou, Jiacheng Mai, Shaoxiang Feng, Huangqin Huang, Jianhua Guo, Xiangyu Shi, Leixiao Shen, Yongpeng Zhao, Yongcang Li, Changxi Ma, Ke Wang, and Xuecai Xu!

🚀 Exciting News! 🚀 Explore cutting-edge transportation research in the latest edition of Promet – Traffic&Transportation journal! 🌐🚗✈️ Our newest issue covers topics including the effectiveness of dynamic speed feedback signs, operating vehicle speed prediction models, the impact of COVID-19 on modal shifts, collaborative optimization of high-speed rail and freight flow, airline code-share strategies, short-term traffic flow prediction, train timetabling optimization, COVID-19's effect on highway travel patterns, road-rail intermodal hub site selection, dynamic lane control for intersections, port container truck trajectory prediction, air traffic scenario evaluation, and rapid algorithms for metro train speed optimization. 🔍 Want to stay at the forefront of transportation studies? Dive into our full articles and contribute your expertise to the conversation. Don't miss the chance to shape the future of transportation! 📚 Read the latest issue here: https://lnkd.in/d5tRXUgj Special thanks to our authors: Shakir Mahmud, Dario Babić, Timothy J. Gates, Juraj Vertlberg, Marko Švajda, Marijan Jakovljevic, Marko Sevrovic, Esad Ergin, Ph.D., Jun-Hua Guo, Jiang-Yong Wan, Wu-Yang Yuan, Jun-Jie Liu, Lan Teng, Mincong Tang, Xu Dong Cao, Qin Shi, Yi Kai Chen, Chen Chen Chen, Hai Zhang, Shaoquan Ni, Miaomiao Lv, Weizheng Liu, Yanyan Chen, Qichen Ou, Mi Gan, Meitong An, Yichen Wang, Yin Han, Bo Ning, Shidong Liang, Haixiong Ye, Kairong Luan, Mei Yang, Xiliang Zhang, Yue Zhou, Dong Sui, Qian Li, Tingting Zhou, Kechen Liu, Dewang Chen, Zhongjie Wu, Yuqi Lu, Wendi Zhao, and Zhiming Lin! #TransportationResearch #TrafficAnalysis #Sustainability #Innovation #AcademicPublishing #TransportationIndustry #ResearchInsights #PrometJournal #ScienceCommunity #AcademicJournals

🚀 Exciting News! 🚀 Explore cutting-edge transportation research in the latest edition of Promet – Traffic&Transportation journal! 🌐🚗✈️ Our newest issue covers topics including the effectiveness of dynamic speed feedback signs, operating vehicle speed prediction models, the impact of COVID-19 on modal shifts, collaborative optimization of high-speed rail and freight flow, airline code-share strategies, short-term traffic flow prediction, train timetabling optimization, COVID-19's effect on highway travel patterns, road-rail intermodal hub site selection, dynamic lane control for intersections, port container truck trajectory prediction, air traffic scenario evaluation, and rapid algorithms for metro train speed optimization. 🔍 Want to stay at the forefront of transportation studies? Dive into our full articles and contribute your expertise to the conversation. Don't miss the chance to shape the future of transportation! 📚 Read the latest issue here: https://lnkd.in/d5tRXUgj Special thanks to our authors: Shakir Mahmud, Dario Babić, Timothy J. Gates, Juraj Vertlberg, Marko Švajda, Marijan Jakovljevic, Marko Sevrovic, Esad Ergin, Ph.D., Jun-Hua Guo, Jiang-Yong Wan, Wu-Yang Yuan, Jun-Jie Liu, Lan Teng, Mincong Tang, Xu Dong Cao, Qin Shi, Yi Kai Chen, Chen Chen Chen, Hai Zhang, Shaoquan Ni, Miaomiao Lv, Weizheng Liu, Yanyan Chen, Qichen Ou, Mi Gan, Meitong An, Yichen Wang, Yin Han, Bo Ning, Shidong Liang, Haixiong Ye, Kairong Luan, Mei Yang, Xiliang Zhang, Yue Zhou, Dong Sui, Qian Li, Tingting Zhou, Kechen Liu, Dewang Chen, Zhongjie Wu, Yuqi Lu, Wendi Zhao, and Zhiming Lin! #TransportationResearch #TrafficAnalysis #Sustainability #Innovation #AcademicPublishing #TransportationIndustry #ResearchInsights #PrometJournal #ScienceCommunity #AcademicJournals

Future is almost here at Rimac Automobili 🤗 Verne - autonomous taxi

Great opportunity to publish your research! I'm proud to be a part of the great team of guest editors for this special issue! Don't miss the opportunity, the clock is ticking 🕚