Communications in Transportation Research最新文献

{"title":"The effect of optimisation objectives on the outcome of line planning","authors":"Prasetyaning Diah Rizky Lestari ,&nbsp;Ronghui Liu ,&nbsp;Richard Batley","doi":"10.1016/j.commtr.2024.100131","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100131","url":null,"abstract":"<div><p>One of the core problems in the strategic planning of railway operations revolves around developing an optimal line plan. The line plan optimisation problem aims to build a workable line system that achieves specific objectives. Many models presented in existing literature typically focus on either maximising direct traveller numbers or minimising costs. In contrast, this paper introduces a model with diverse objectives for addressing line plan optimisation problems, allowing for variations in stopping patterns across different lines. Our model examines how setting different objectives can result in different line plan designs. This will be valuable for railway operators, offering diverse perspectives when selecting the most suitable design, particularly in the context of new railway service development, such as the introduction of a high-speed train. A case study of future semi high-speed rail in Indonesia is presented to test the model.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100131"},"PeriodicalIF":12.5,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000143/pdfft?md5=93c4d24d43c0815a0f627aab7446cb90&pid=1-s2.0-S2772424724000143-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141481035","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":"Vehicle trajectory dataset from drone videos including off-ramp and congested traffic – Analysis of data quality, traffic flow, and accident risk","authors":"Moritz Berghaus ,&nbsp;Serge Lamberty ,&nbsp;Jörg Ehlers ,&nbsp;Eszter Kalló ,&nbsp;Markus Oeser","doi":"10.1016/j.commtr.2024.100133","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100133","url":null,"abstract":"<div><p>Vehicle trajectory data have become essential for many research fields, such as traffic flow, traffic safety, and automated driving. To make trajectory data useable for researchers, an overview of the included road section and traffic situation as well as a description of the data processing methodology is necessary. In this paper, we present a trajectory dataset from a German highway with two lanes per direction, an off-ramp and congested traffic in one direction, and an on-ramp in the other direction. The dataset contains 8,648 trajectories and covers 87 ​min and an ∼1,200 ​m long section of the road. The trajectories were extracted from drone videos using a posttrained YOLOv5 object detection model and projected onto the road surface via three-dimensional (3D) camera calibration. The postprocessing methodology can compensate for most false detections and yield accurate speeds and accelerations. The trajectory data are also compared with induction loop data and vehicle-based smartphone sensor data to evaluate the plausibility and quality of the trajectory data. The deviations of the speeds and accelerations are estimated at 0.45 ​m/s and 0.3 ​m/s², respectively. We also present some applications of the data, including traffic flow analysis and accident risk analysis.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100133"},"PeriodicalIF":12.5,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000167/pdfft?md5=694b49ef747cf35c862ed1e655ccb3d5&pid=1-s2.0-S2772424724000167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438244","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":"Assessing feasibility of direct measurement technology for monitoring carbon emissions in ports","authors":"Jian Zheng,&nbsp;Xin Shi,&nbsp;Zekun Zhang","doi":"10.1016/j.commtr.2024.100132","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100132","url":null,"abstract":"","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100132"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000155/pdfft?md5=fdbfd1baf6e2ee526361a096a4dcd5c6&pid=1-s2.0-S2772424724000155-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141428709","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":"Synthesis of electric vehicle charging data: A real-world data-driven approach","authors":"Zhi Li ,&nbsp;Zilin Bian ,&nbsp;Zhibin Chen ,&nbsp;Kaan Ozbay ,&nbsp;Minghui Zhong","doi":"10.1016/j.commtr.2024.100128","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100128","url":null,"abstract":"<div><p>Nowadays, electric vehicles (EVs) are increasingly equipped with advanced onboard devices capable of collecting and recording real-time charging data. The analysis of such data from a large-scale EV fleet plays a crucial role in supporting decision-making processes, particularly in the deployment of charging infrastructure and the formulation of EV-focused policies. Nevertheless, the challenges of collecting these data are significant, primarily due to privacy concerns and the high costs associated with data access. In response, this study introduces an innovative methodology for generating large-scale and diverse EV charging data, mirroring real-world patterns for cost-efficient and privacy-compliant use. Specifically, this approach combines Gibbs sampling and conditional density networks and was trained and validated using a real-world dataset consisting of approximately 1.65 million charging events from 3,777 battery EVs (BEVs) in Shanghai over a year. Results illustrate that the proposed model can effectively capture the underlying distribution of the original charging data, enabling the generation of synthetic samples that closely resemble real-world charging events. The approach is readily employed for data imputation and augmentation, and it can also help simulate future charging distributions by conditional generation based on anticipated development premises.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000118/pdfft?md5=a276e4ffc18b1658c753c87293993cfc&pid=1-s2.0-S2772424724000118-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141068031","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":"Drone-based vertical delivery system for high-rise buildings: Multiple drones vs. a single elevator","authors":"Takahiro Ezaki ,&nbsp;Kazuhiro Fujitsuka ,&nbsp;Naoto Imura ,&nbsp;Katsuhiro Nishinari","doi":"10.1016/j.commtr.2024.100130","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100130","url":null,"abstract":"<div><p>As urbanization and high-rise living increase, frequent delivery of goods in the building to higher floors from the ground level is becoming a pressing issue. We introduce a drone-based vertical delivery system aimed at enhancing the efficiency of high-rise building logistics. The potential of the proposed system in reducing delivery time and energy consumption compared to conventional elevator-based delivery is analyzed. By assessing the requisite number of drones, their operating frequencies, and identifying scenarios in which drones can surpass conventional methods, the advantages using drone delivery systems are highlighted. The results indicate that drone delivery is not only viable but also advantageous to meet certain demand levels, offering a promising alternative to elevator-based deliveries.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100130"},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000131/pdfft?md5=fc87543dcf2fc30e62e3981c933b8eae&pid=1-s2.0-S2772424724000131-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141066869","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":"Why is your paper rejected? Lessons learned from over 5000 rejected transportation papers","authors":"Jiaming Wu ,&nbsp;Ivan Sanchez-Diaz ,&nbsp;Ying Yang ,&nbsp;Xiaobo Qu","doi":"10.1016/j.commtr.2024.100129","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100129","url":null,"abstract":"<div><p>Academic papers are the cornerstone of knowledge dissemination and crucial for researchers’ career development. This is particularly true for rapidly evolving research domains such as transportation, as evidenced by the surge of journals and papers in the past decade. While abundant literature offers guidance on successful publication strategies, insights into the reasons for rejection are rare. This study fills in this gap by examining why papers are rejected in the area of transportation. We present concrete evidence based on data from over 5,000 rejected transport papers. Quantitative analyses are conducted to reveal the impacts of similarity rate, duplication submission rate, and topic on desk rejections. Additionally, we shed light on the distinct focus reviewers have when serving different journals. We hope the results could equip transport researchers with a deeper comprehension of publication criteria and a better awareness of common but avoidable mistakes.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100129"},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277242472400012X/pdfft?md5=dd23c393d6e38681e84dce3dbe42c26f&pid=1-s2.0-S277242472400012X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141066868","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":"Cooperative CAV mandatory lane-change control enabled by V2I","authors":"Ran Yi ,&nbsp;Yifan Yao ,&nbsp;Fan Pu ,&nbsp;Yang Zhou ,&nbsp;Xin Wang","doi":"10.1016/j.commtr.2024.100126","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100126","url":null,"abstract":"<div><p>This paper presents a spatially formulated cooperative dynamic mandatory connected automated vehicle (CAV) lane-changing and car-following approach on curved highways with the assistance of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. This work proposes mandatory lane-changing control in a spatial domain to accomplish car-following and lane-changing efficiency in a systematic manner. This control technique initially creates a virtual CAV car-following lane by assigning CAVs sequential numbers based on their spatial position. On this basis, a multi-objective model predictive control (MPC) strategy in the spatial domain is designed to optimize the trajectories in a rolling horizon fashion in order to maintain the inter-vehicle spacing and speed difference while simultaneously satisfying collision avoidances, traffic regulations, and vehicle kinematics constraints. Multi-scenario numerical simulations are conducted to validate the control efficacy of our technique.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277242472400009X/pdfft?md5=05853561b7b736da6439f4266819c14b&pid=1-s2.0-S277242472400009X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140894091","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":"Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving","authors":"Zilin Huang,&nbsp;Zihao Sheng,&nbsp;Chengyuan Ma,&nbsp;Sikai Chen","doi":"10.1016/j.commtr.2024.100127","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100127","url":null,"abstract":"<div><p>Despite significant progress in autonomous vehicles (AVs), the development of driving policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully explored. In this paper, we propose an enhanced human-in-the-loop reinforcement learning method, termed the Human as AI mentor-based deep reinforcement learning (HAIM-DRL) framework, which facilitates safe and efficient autonomous driving in mixed traffic platoon. Drawing inspiration from the human learning process, we first introduce an innovative learning paradigm that effectively injects human intelligence into AI, termed Human as AI mentor (HAIM). In this paradigm, the human expert serves as a mentor to the AI agent. While allowing the agent to sufficiently explore uncertain environments, the human expert can take control in dangerous situations and demonstrate correct actions to avoid potential accidents. On the other hand, the agent could be guided to minimize traffic flow disturbance, thereby optimizing traffic flow efficiency. In detail, HAIM-DRL leverages data collected from free exploration and partial human demonstrations as its two training sources. Remarkably, we circumvent the intricate process of manually designing reward functions; instead, we directly derive proxy state-action values from partial human demonstrations to guide the agents’ policy learning. Additionally, we employ a minimal intervention technique to reduce the human mentor’s cognitive load. Comparative results show that HAIM-DRL outperforms traditional methods in driving safety, sampling efficiency, mitigation of traffic flow disturbance, and generalizability to unseen traffic scenarios.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000106/pdfft?md5=926541f5937b5ee27465791694dbead5&pid=1-s2.0-S2772424724000106-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140894092","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":"Exploring levels of adoption of multi-function transport apps: Transtheoretical model of change on the customer journey of Transport-SuperApp (TSA) users","authors":"Muhamad Rizki ,&nbsp;Tri Basuki Joewono ,&nbsp;Yusak O. Susilo","doi":"10.1016/j.commtr.2024.100125","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100125","url":null,"abstract":"<div><p>This study utilises the modified Transtheoretical Model of Change (TTMC) to investigate the levels of adoption of transport-multi-function apps or Transport-SuperApp (TSA) and also examine the influence of users’ personality, socio-demographic factors, residential location, perceived built environment, and motivations of use. The analysis is based on data collected from 1,051 users in four Indonesian cities. In this study, a latent class cluster analysis (LCCA) was used which identified four distinct classes of TSA level of adoption: Over Enthusiast (OE) (42%) comprising users who extensively explore and utilise the functions of the apps; Exploring but has Disinterest (ED) (36%) comprising those who primarily use apps for popular functions such as transportation, shopping, and payment services, but lack interest in utilising other services; Shopping-oriented but has Broad Interest (SBI) (14%) comprising those who heavily use shopping services while displaying a high interest in other functions; and Minimalist and Unaware (MU) (8%) comprising those who utilises the core functions of TSA for transportation and shopping while exhibiting low awareness of other available functions within the apps. The study found that transportation and shopping services have the highest level of adoption compared to other TSAs’ functions. The findings also suggest that the behaviour surrounding TSA utilization may evolve in the future and adoption levels are influenced by hedonic and utilitarian motivations. The OE users are associated with authority/control and tend to be more disorganised. Whereas SBI users tend to be more creative and open to new experiences. Compared to other classes, OE users are mostly found in Jakarta, a megapolitan area, and primarily reside near activity centres.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000088/pdfft?md5=c1f83eb51b493f02e8fc4375e3b5c3cc&pid=1-s2.0-S2772424724000088-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140813372","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":"Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part II: Route-dependent attraction-based stochastic process model","authors":"Hang Qi ,&nbsp;Ning Jia ,&nbsp;Xiaobo Qu ,&nbsp;Zhengbing He","doi":"10.1016/j.commtr.2024.100123","DOIUrl":"https://doi.org/10.1016/j.commtr.2024.100123","url":null,"abstract":"<div><p>Laboratory experiments are one of the important means used to investigate travel choice behavior under strategic uncertainty. Many experiment-based studies have shown that the Nash equilibrium can predict aggregated route choices, while the fluctuations, whose mechanisms are still unclear, continue to exist until the end. To understand the fluctuations, this paper proposes a route-dependent attraction-based stochastic process model, which shares exactly the same behavioral foundation introduced in Part I of the study (Qi et al., 2023), i.e., route-dependent inertia and route-dependent preference. The model predictions are carefully compared with the experimental observations obtained from the congestible parallel-route laboratory experiments containing 312 subjects and eight decision-making scenarios (Qi et al., 2023). The results show that the proposed stochastic process model can precisely reproduce the random oscillations both in terms of flow switching and route flow evolution. Subsequently, an approximated model is developed to enhance the efficiency in evaluating the equilibrium distribution, providing a practical tool to evaluate the impacts of transportation policies in both long- and short-term runs. To the best of our knowledge, this paper is the first attempt to model and explain experimental phenomena by introducing stochastic process theories, as well as a successful example of applying experimental economics methodology to improve our understanding of human travel choice behavior.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000064/pdfft?md5=4f9c6148c7bdc4a204b4ccc329e867f3&pid=1-s2.0-S2772424724000064-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641111","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}