Dynamic Capacitated Arc Routing Problem in E-Bike Sharing System: A Monte Carlo Tree Search Approach by Shiqi Tan, Zhiheng Li, Na Xie

“…This paper studies a dynamic capacitated arc routing problem for battery replacement in an e-bike sharing system, where workers replace batteries for underpowered e-bikes along street segments dynamically. …”
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Numerical and Experimental Investigation on Combustion Characteristics and Pollutant Emissions of Pulverized Coal and Biomass Co-Firing in a 500 kW Burner by Rachapat Chaiyo, Jakrapop Wongwiwat, Yanin Sukjai

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Review of Research on Trajectory Prediction of Road Pedestrian Behavior by YANG Zhiyong, GUO Jieru, GUO Zihang, ZHANG Ruixiang, ZHOU Yu

“…In path planning for shared spaces between autonomous vehicles and pedestrians, accurate and efficient pedestrian trajectory prediction is critical for ensuring road safety. …”
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Impact of the Belt and Road Initiative on Poverty Reduction in Countries along the Route by Wei Ma, Na Bo, Yang Song, Fuwei Qiao

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Microscopic Simulation of Heterogeneous Traffic Flow on Multi-Lane Ring Roads and Highways by Haizhen Li, Yongfeng Ju

“…The findings indicate that traffic efficiency, stability, and environmental impact improve as the share of HDVs declines and the proportion of CAVs and AVs rises. …”
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Charge-on-the-move solutions for future mobility: A review of current and future prospects by Mohd Aiman Khan, Wilco Burghout, Oded Cats, Erik Jenelius, Matej Cebecauer

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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…The pre-training process consists of two blocks: the Road Segment Interaction Pattern to Enhance GATv2, which generates road segment representation vectors, and a traffic congestion-aware trajectory encoder by incorporating a shared attention mechanism for high computational efficiency. …”
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Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns by David Neiman, Zachary Rubinstein, Stephen Smith

“…Since adding more roadway capacity is often not possible in urban environments, it is becoming more important to use existing road networks more efficiently. Toward this goal, recent research in real-time, schedule-driven intersection control has shown an ability to significantly reduce the delays incurred at signalized intersections. …”
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Combinatorial double auction for multi-resource trading in IoT applications by Sara Ranjbaran, Amir reza Jafari, Noel Crespi, Sérgio D. Correia

“…This paper specifically focuses on the sharing of heterogeneous resources among IoT applications in smart cities. …”
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A GIS-Based Safe System Approach for Risk Assessment in the Transportation of Dangerous Goods: A Case Study in Italian Regions by Angela Maria Tomasoni, Abdellatif Soussi, Enrico Zero, Roberto Sacile

“…The results contribute to enhancing safety protocols and provide actionable insights for policymakers and practitioners aiming to improve the resilience of technological systems for road transport networks handling dangerous goods.…”
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Exploring the role of an underground logistics system in enhancing Swiss intermodal freight by Mariana de Almeida Costa, Ihab Kaddoura, Annick Noll, Merlin Unterfinger, Miloš Balać, Francesco Corman

“…Additionally, the study examines the effects of varying costs and tolerance for delays on modal shares. By emphasising the importance of terminal infrastructure, network expansion, and coordinated mechanisms, the findings offer valuable insights into enhancing the efficiency, competitiveness, and sustainability of Switzerland’s intermodal freight system in response to future demand scenarios.…”
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Bilevel Programming Model of Urban Public Transport Network under Fairness Constraints by Jingjing Hao, Xinquan Liu, Xiaojing Shen, Nana Feng

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DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles by Xiaoge Huang, Hongbo Yin, Qianbin Chen, Yu Zeng, Jianfeng Yao

“…In this paper, we propose a Directed Acyclic Graph (DAG) based Swarm Learning (DSL), which integrates edge computing, FL, and blockchain technologies to provide secure data sharing and model training in IoVs. To deal with the high mobility of vehicles, the dynamic vehicle association algorithm is introduced, which could optimize the connections between vehicles and road side units to improve the training efficiency. …”
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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…This technology enables connected and autonomous vehicles (CAVs) to interact with their surroundings, significantly enhancing road safety, traffic efficiency, and driving comfort. …”
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A Decentralized Digital Watermarking Framework for Secure and Auditable Video Data in Smart Vehicular Networks by Xinyun Liu, Ronghua Xu, Yu Chen

“…An ITS is critical in enhancing road safety, traffic efficiency, and the overall driving experience by enabling a comprehensive data exchange platform. …”
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Vehicle Safety Enhancement System: Sensing and Communication by Huihuan Qian, Yongquan Chen, Yuandong Sun, Niansheng Liu, Ning Ding, Yangsheng Xu, Guoqing Xu, Yunjian Tang, Jingyu Yan

“…With the substantial increase of vehicles on road, driving safety and transportation efficiency have become increasingly concerned focus from drivers, passengers, and governments. …”
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Comparative Analysis of the European Regulatory Framework for C&D Waste Management by Fabiola Colmenero Fonseca, Javier Cárcel-Carrasco, Adolfo Preciado, Aurora Martínez-Corral, Andrés Salas Montoya

“…Policymakers, environmentalists, and industry stakeholders can utilize these findings to develop and implement improved C&D waste management practices, promoting sustainability and resource efficiency across the EU. This research contributes valuable insights to the field of C&D waste management, offering a road map for improvement and highlighting the need for collaboration among EU Member States to create a more sustainable and resilient future.…”
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Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method by Chenhao Wu, Zhongwei Huang, Yuntao Zou

“…In the IoVs, an intelligent vehicle can not only share information with the infrastructures like RSUs by vehicle to infrastructure (V2I) communication but also with vehicles on the road through vehicle-to-vehicle (V2V) communications. …”
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Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation by Zhen Liu, Hang Gao, Yeting Lin, Xun Gong

“…Remote sensing enables large-scale real-time observation of traffic conditions, providing precise data on vehicle dynamics, road structures, and surrounding environments. …”
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Stakeholder identification and mapping in peripheral European inland waterway ecosystems by Marie Cryns, Edwin van Hassel, Thierry Vanelslander

“…Abstract As a result of the increasing need to accomplish a modal shift from road transportation towards inland waterway transport (IWT) and railway transport (RWT) to reduce congestion and emissions in Europe, many technologies and innovations are being created and implemented to establish more efficient and resilient IWT and RWT and achieve the desired modal shift. …”
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