Communications in Transportation Research最新文献

{"title":"Safety assurance adaptive control for modular autonomous vehicles","authors":"Chengyuan Ma,&nbsp;Hang Zhou,&nbsp;Peng Zhang,&nbsp;Ke Ma,&nbsp;Haotian Shi,&nbsp;Xiaopeng Li","doi":"10.1016/j.commtr.2025.100204","DOIUrl":"10.1016/j.commtr.2025.100204","url":null,"abstract":"<div><div>Recent studies and industry developments indicate that modular autonomous vehicles (MAVs) have the potential to enhance transportation systems by offering vehicles with adjustable capacities en route. However, the practical realization of reliable control during docking/undocking operations remains a significant challenge, primarily due to safety concerns arising from the close proximity of MAVs. This study proposes a safety assurance adaptive model predictive control (SAAMPC) framework to achieve distributed docking/undocking operations for MAVs in uncertain environments. The SAAMPC framework integrates a model predictive control (MPC) controller for trajectory optimization, an adaptive module for dynamic adjustment of control parameters with disturbance, and an adaptive safety assurance module with longitudinal and lateral control barrier functions (CFB) to ensure safe operation during risky and uncertain conditions. The effectiveness of the proposed approach is validated through simulations in Simulink and field tests on a reduced-scale MAV platform. Experimental results validate that the SAAMPC framework successfully ensures smooth and safe vehicle following and robust execution of docking/undocking operations under uncertainties.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100204"},"PeriodicalIF":14.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compensation scheme and split delivery in a collaborative passenger-parcel transportation system","authors":"Yitong Yu,&nbsp;Kechen Ouyang,&nbsp;Qingyun Tian,&nbsp;David Z.W. Wang","doi":"10.1016/j.commtr.2025.100197","DOIUrl":"10.1016/j.commtr.2025.100197","url":null,"abstract":"<div><div>The emerging collaborative passenger-parcel transport (CPT) mode aims to address the significant imbalance between passenger and parcel transport demand for last-mile delivery. By enabling passengers and parcels to share a single vehicle’s capacity, CPT reduces resource underutilization during off-peak hours and alleviates traffic congestion during peak hours. However, the successful implementation of such systems is not guaranteed, as passengers may decline shared rides due to reduced service quality. Compensation mechanisms, which incentivize passengers’ acceptance, offer a promising solution to such an issue. However, the design of optimal compensation scheme has not yet been investigated in the existing literature of collaborative transport. To fill this gap, this study incorporates compensation-affected behavior into a typical routing problem of the CPT system, where the routing problem allows delivery requests to be split across multiple trips and permits multiple visits to each node. We formulate this problem as the compensation scheme design in split delivery vehicle routing problem with time windows for a collaborative passenger-parcel transport system (C-SDVRPTW-CPT). We solve it by developing a Surrogate-based Adaptive Large Neighborhood Search framework (SOT-ALNS). Numerical experiments validate the model and algorithm, demonstrating the fast convergence of the algorithm and the advantages of collaborative transport and compensation, which improves profit by 3%–10%.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100197"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing transportation research: interdisciplinary insights from emerging technologies and diverse perspectives","authors":"Mingyang Pei ,&nbsp;Zhuoyan Wei ,&nbsp;Xin Pei ,&nbsp;Yu Zhang ,&nbsp;Xiaokun Cara Wang ,&nbsp;Yang Liu ,&nbsp;Ronghui Liu","doi":"10.1016/j.commtr.2025.100199","DOIUrl":"10.1016/j.commtr.2025.100199","url":null,"abstract":"","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100199"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closed-loop coordination of connected and automated vehicles in structured road networks","authors":"Shijie Cong ,&nbsp;Mingyu Zheng ,&nbsp;Wei Zhang ,&nbsp;Yiming Bie ,&nbsp;Emilian Szczepański","doi":"10.1016/j.commtr.2025.100182","DOIUrl":"10.1016/j.commtr.2025.100182","url":null,"abstract":"","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100182"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STFC: Spatio-temporal formation control for connected and autonomous vehicles in multi-lane traffic","authors":"Jianghong Dong ,&nbsp;Jiawei Wang ,&nbsp;Mengchi Cai ,&nbsp;Yibin Yang ,&nbsp;Qing Xu ,&nbsp;Jianqiang Wang ,&nbsp;Keqiang Li","doi":"10.1016/j.commtr.2025.100219","DOIUrl":"10.1016/j.commtr.2025.100219","url":null,"abstract":"<div><div>Formation control of Connected and Autonomous Vehicles (CAVs) has shown significant potential for improving traffic safety and efficiency in multi-lane traffic. However, previous work has primarily focused on spatial coordination while neglecting temporal optimization, which significantly limits their cooperation capability and practical applicability in real-world traffic. In this study, we propose a Spatio-Temporal Formation Control (STFC) method that integrates centralized formation generation with distributed trajectory planning. Precisely, we propose a graph-based formation maintenance representation, and show that the interlaced geometric structure is optimal for multi-lane formation. Then, we develop a distributed spatio-temporal joint formation trajectory planning method that simultaneously optimizes spatial positions and temporal duration, with consideration of multiple objectives such as formation maintenance and obstacle avoidance. Further, we design a polynomial vehicle-to-target assignment algorithm that inherently resolves conflicts. Simulation experiments demonstrate the superiority of our method over baselines in terms of formation maintenance and transition, achieving a 53% and 58% reduction in transition time and distance, respectively.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100219"},"PeriodicalIF":14.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public air routes for low-altitude economies: Priority infrastructure beneficially associated with ground roads","authors":"Chenchen Xu ,&nbsp;Zongru Li ,&nbsp;Hongbo He ,&nbsp;Anqi Tang ,&nbsp;Xiaohan Liao","doi":"10.1016/j.commtr.2025.100228","DOIUrl":"10.1016/j.commtr.2025.100228","url":null,"abstract":"<div><div>The emerging low-altitude economy (LAE) hinges on effectively managing high-density aerial traffic flows. Establishing a system of low-altitude public air routes offers a feasible solution to handle this congestion. In this context, these routes are conceptualized as foundational “sky–road” infrastructure, and it is proposed that they be treated as fixed assets endowed with tradable or transferable property rights. Previous analysis suggests that building a public low-altitude air-route network can generate significant socioeconomic benefits, potentially beyond those of conventional ground transportation. Although “building sky roads” poses technological and regulatory challenges, extending the principles of terrestrial road networks into low-altitude airspace allows existing planning standards and governance mechanisms to be largely adapted to this new domain. This approach can transform many of these challenges into opportunities, laying the groundwork for a robust LAE in the future.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100228"},"PeriodicalIF":14.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FedAV: Federated learning for cyberattack vulnerability and resilience of cooperative driving automation","authors":"Guanyu Lin ,&nbsp;Sean Qian ,&nbsp;Zulqarnain H. Khattak","doi":"10.1016/j.commtr.2025.100175","DOIUrl":"10.1016/j.commtr.2025.100175","url":null,"abstract":"<div><div>Cooperative driving automation (CDA) has gained attention over the years because of its cooperative driving capability that provides solution to individual automated driving challenges. Although reliance on communication and automation enables cooperative driving, it also introduces new cybersecurity threats. This study introduces a federated learning concept for autonomous and connected vehicles, known as the federated agents on vehicle platooning (FedAV) framework, which is designed to address the challenges of cyberattack simulations and anomaly detection in cooperative vehicle platooning systems. The federated learning approach was adopted because of its decentralized nature, which allows each vehicle to learn independently with the ability to overcome adversarial attacks. First, FedAV employs a mixed cyberattack simulation approach to capture complex attack patterns effectively. We tested the scalability of our approach against several attacks, including spoofing, message falsification, and replay attacks, as well as on anomalies, including short anomalies, noise anomalies, bias anomalies, and gradual shifts. In addition, our approach integrates federated learning for decentralized anomaly detection, ensuring data privacy and reducing communication overhead. The anomaly detection performance was enhanced by average and weighted aggregation strategies. Real-world scenarios from cooperative driving experiments and simulations validated the framework's effectiveness and demonstrated its potential to improve the safety, privacy, and efficiency of CDA.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100175"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next leap in the sustainable transport revolution: Identifying gaps and proposing solutions for hydrogen mobility","authors":"Fangjie Liu ,&nbsp;Muhammad Shafique ,&nbsp;Xiaowei Luo","doi":"10.1016/j.commtr.2025.100180","DOIUrl":"10.1016/j.commtr.2025.100180","url":null,"abstract":"<div><div>Amid escalating global climate concerns, the reliance of the transportation sector on high-carbon fossil fuels urgently demands sustainable alternatives. Hydrogen has emerged as a potent solution because of its zero-emission usage, but its overall impact hinges on its full life cycle, which this review comprehensively examines. This article delves into the environmental, economic, and safety dimensions of hydrogen as an alternative fuel by systematically reviewing the life cycle assessment (LCA) literature across the production, storage, delivery, and usage phases, with a focus on electrolysis and natural gas reforming methods, among others. A key insight from this study is the critical importance of considering the entire delivery system holistically rather than isolating the delivery phase. Many studies have overlooked two important aspects: first, the distribution of hydrogen as a product itself is often underemphasized; second, the integration of storage and delivery (the “storage-delivery nexus”) is crucial since separating them can lead to misleading conclusions about cost and emissions. For example, while certain delivery methods may appear cost-effective, their associated storage processes (such as hydrogenation and dehydrogenation in liquid organic hydrogen carrier systems) can have significant emission impacts. To address these gaps, this study introduces a novel “surface-level” LCA framework to enhance the assessment of the environmental impacts of hydrogen, promoting a more integrated understanding of the storage-delivery system. This framework aims to provide more accurate insights into hydrogen's life cycle, thereby facilitating better-informed policy-making and technological advancements. This study underscores the imperative for robust policy support, public engagement, and continuous innovation to overcome these barriers, advocating for strategic initiatives that bolster the sustainability and adoption of hydrogen mobility, particularly in hydrogen fuel cell vehicles (HFCVs).</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100180"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios","authors":"Zhanwen Liu ,&nbsp;Yujing Sun ,&nbsp;Yang Wang ,&nbsp;Nan Yang ,&nbsp;Shengbo Eben Li ,&nbsp;Xiangmo Zhao","doi":"10.1016/j.commtr.2025.100202","DOIUrl":"10.1016/j.commtr.2025.100202","url":null,"abstract":"<div><div>The dynamic range limitation is intrinsic to conventional RGB cameras, which reduces global contrast and causes the loss of high-frequency details such as textures and edges in complex, dynamic traffic environments (e.g., nighttime driving or tunnel scenes). This deficiency hinders the extraction of discriminative features and degrades the performance of frame-based traffic object detection. To address this problem, we introduce a bio-inspired event camera integrated with an RGB camera to complement high dynamic range information, and propose a motion cue fusion network (MCFNet), an innovative fusion network that optimally achieves spatiotemporal alignment and develops an adaptive strategy for cross-modal feature fusion, to overcome performance degradation under challenging lighting conditions. Specifically, we design an event correction module (ECM) that temporally aligns asynchronous event streams with their corresponding image frames through optical-flow-based warping. The ECM is jointly optimized with the downstream object detection network to learn task-ware event representations. Subsequently, the event dynamic upsampling module (EDUM) enhances the spatial resolution of event frames to align its distribution with the structures of image pixels, achieving precise spatiotemporal alignment. Finally, the cross-modal mamba fusion module (CMM) employs adaptive feature fusion through a novel cross-modal interlaced scanning mechanism, effectively integrating complementary information for robust detection performance. Experiments conducted on the DSEC-Det and PKU-DAVIS-SOD datasets demonstrate that MCFNet significantly outperforms existing methods in various poor lighting and fast moving traffic scenarios. Notably, on the DSEC-Det dataset, MCFNet achieves a remarkable improvement, surpassing the best existing methods by 7.4% in mAP50 and 1.7% in mAP metrics, respectively.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100202"},"PeriodicalIF":14.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Should autonomous vehicles be subsidized to reduce parking fees? A productivity perspective","authors":"Yao Li ,&nbsp;Ziyue Yang ,&nbsp;Tao Wang ,&nbsp;Shuxian Xu ,&nbsp;Jiancheng Long","doi":"10.1016/j.commtr.2025.100196","DOIUrl":"10.1016/j.commtr.2025.100196","url":null,"abstract":"<div><div>Governments often advocate for and implement policies to promote the development of new technologies, such as electric vehicles. Are these policies promoting new mobility modes applicable to autonomous vehicles (AVs)? In this study, we develop an economic model to capture residents' behaviors, including mode choice, location choice, and parking choice. Two parking choices (parking downtown or at home) for AV users are considered. We construct utility maximization models under a user equilibrium state to capture government planning and residents' choices. By deriving the first-order conditions of the model, we analyze the influence of AVs on urban characteristics. We emphasize how the parking subsidy affects AV users’ behavior, thereby influencing urban productivity. The results indicate that parking subsidies for AVs undermine urban productivity, whereas cash-out policies, such as providing subsidies for public transit, can effectively enhance urban productivity.</div></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"5 ","pages":"Article 100196"},"PeriodicalIF":12.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}