Communications in Transportation Research最新文献_第9页

On the simulation of shared autonomous micro-mobility 共享自主微移动仿真研究

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100065

Naroa Coretti Sanchez , Iñigo Martinez , Luis Alonso Pastor , Kent Larson

{"title":"On the simulation of shared autonomous micro-mobility","authors":"Naroa Coretti Sanchez , Iñigo Martinez , Luis Alonso Pastor , Kent Larson","doi":"10.1016/j.commtr.2022.100065","DOIUrl":"10.1016/j.commtr.2022.100065","url":null,"abstract":"<div><p>Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and the use of micro-mobility systems gain strength, the intersection of these fields appears as an area of great opportunity. Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems (SMMS), increasing their efficiency and incentivizing more people to use active mobility modes. The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience. This paper presents an ad-hoc agent-based simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios, including a rebalancing system based on demand prediction. It also allows comparing its performance to station-based and dockless schemes. The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data. The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders, including vehicle design engineers, fleet operators, city planners, and governments.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100065"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000154/pdfft?md5=f3e963218e6bbdbc7207565bf6c50b60&pid=1-s2.0-S2772424722000154-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86297401","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}

引用次数: 6

Replacing urban trucks via ground–air cooperation 通过地空合作取代城市卡车

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100080

Xiaobo Qu , Ziling Zeng , Kai Wang , Shuaian Wang

引用次数: 11

Data fusion and machine learning for ship fuel efficiency modeling: Part I – Voyage report data and meteorological data 船舶燃油效率建模的数据融合和机器学习:第一部分-航行报告数据和气象数据

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100074

Xiaohe Li , Yuquan Du , Yanyu Chen , Son Nguyen , Wei Zhang , Alessandro Schönborn , Zhuo Sun

{"title":"Data fusion and machine learning for ship fuel efficiency modeling: Part I – Voyage report data and meteorological data","authors":"Xiaohe Li , Yuquan Du , Yanyu Chen , Son Nguyen , Wei Zhang , Alessandro Schönborn , Zhuo Sun","doi":"10.1016/j.commtr.2022.100074","DOIUrl":"10.1016/j.commtr.2022.100074","url":null,"abstract":"<div><p>The International Maritime Organization has been promoting energy-efficient operational measures to reduce ships' bunker fuel consumption and the accompanying emissions, including speed optimization, trim optimization, weather routing, and the virtual arrival policy. The theoretical foundation of these measures is a model that can accurately forecast a ship's bunker fuel consumption rate according to its sailing speed, displacement/draft, trim, weather conditions, and sea conditions. Voyage report is an important data source for ship fuel efficiency modeling but its information quality on weather and sea conditions is limited by a snapshotting practice with eye inspection. To overcome this issue, this study develops a solution to fuse voyage report data and publicly accessible meteorological data and constructs nine datasets based on this data fusion solution. Eleven widely-adopted machine learning models were tested over these datasets for eight 8100-TEU to 14,000-TEU containerships from a global shipping company. The best datasets found reveal the benefits of fusing voyage report data and meteorological data, as well as the practically acceptable quality of voyage report data. Extremely randomized trees (ET), AdaBoost (AB), Gradient Tree Boosting (GB) and XGBoost (XG) present the best fit and generalization performances. Their <em>R</em><sup><em>2</em></sup> values over the best datasets are all above 0.96 and even reach 0.99 to 1.00 for the training set, and 0.74 to 0.90 for the test set. Their fit errors on daily bunker fuel consumption are usually between 0.5 and 4.0 ton/day. These models have good interpretability in explaining the relative importance of different determinants to a ship's fuel consumption rate.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100074"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000245/pdfft?md5=c42bcfd3fd5eb14aced65e04ac7813c9&pid=1-s2.0-S2772424722000245-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88729940","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}

引用次数: 24

Active travel and sustainable transport 积极出行和可持续交通

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100059

Maria Attard

引用次数: 10

Understanding travel behavior adjustment under COVID-19 了解新冠肺炎疫情下的出行行为调整

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100068

Wenbin Yao , Jinqiang Yu , Ying Yang , Nuo Chen , Sheng Jin , Youwei Hu , Congcong Bai

{"title":"Understanding travel behavior adjustment under COVID-19","authors":"Wenbin Yao , Jinqiang Yu , Ying Yang , Nuo Chen , Sheng Jin , Youwei Hu , Congcong Bai","doi":"10.1016/j.commtr.2022.100068","DOIUrl":"10.1016/j.commtr.2022.100068","url":null,"abstract":"<div><p>The outbreak and spreading of the COVID-19 pandemic have had a significant impact on transportation system. By analyzing the impact of the pandemic on the transportation system, the impact of the pandemic on the social economy can be reflected to a certain extent, and the effect of anti-pandemic policy implementation can also be evaluated. In addition, the analysis results are expected to provide support for policy optimization. Currently, most of the relevant studies analyze the impact of the pandemic on the overall transportation system from the macro perspective, while few studies quantitatively analyze the impact of the pandemic on individual spatiotemporal travel behavior. Based on the license plate recognition (LPR) data, this paper analyzes the spatiotemporal travel patterns of travelers in each stage of the pandemic progress, quantifies the change of travelers' spatiotemporal behaviors, and analyzes the adjustment of travelers' behaviors under the influence of the pandemic. There are three different behavior adjustment strategies under the influence of the pandemic, and the behavior adjustment is related to the individual's past travel habits. The paper quantitatively assesses the impact of the COVID-19 pandemic on individual travel behavior. And the method proposed in this paper can be used to quantitatively assess the impact of any long-term emergency on individual micro travel behavior.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100068"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277242472200018X/pdfft?md5=0417fa2e8dd309b1aa3e9a56e92316f1&pid=1-s2.0-S277242472200018X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84614502","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}

引用次数: 21

Future connected vehicles: Communications demands, privacy and cyber-security 未来的互联汽车:通信需求、隐私和网络安全

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100056

Tomas Olovsson, Tommy Svensson, Jiaming Wu

引用次数: 21

Importance of the reputation of data manager in the acceptance of connected vehicles 数据管理者的声誉在接受联网车辆中的重要性

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100053

Sailesh Acharya, Michelle Mekker

{"title":"Importance of the reputation of data manager in the acceptance of connected vehicles","authors":"Sailesh Acharya, Michelle Mekker","doi":"10.1016/j.commtr.2022.100053","DOIUrl":"10.1016/j.commtr.2022.100053","url":null,"abstract":"<div><p>With the known evidence that potential connected vehicle (CV) users are worried about sharing data because of the associated data privacy and security issues, this study investigates the importance of the reputation of the data manager (who collects, stores, and owns the data) of CV technology (CVT). Based on a questionnaire survey of 2400 US adults, this study asserts that the data manager's reputation has a significant impact on the public perception of data privacy and security issues in CVT along with overall CV acceptance. The results show that data privacy issues have a more negative impact on CV acceptance than data security issues. In addition, the reputation of a data manager has a bigger role in the eyes of the public in shaping their perception of data privacy in comparison to data security. Based on the results, the public considers data privacy as the responsibility of the data manager to protect their data from unauthorized/illegal third-party access, whereas data security is the technological strength of CVT to protect the data from hacking. Finally, it is recommended that CV stakeholders take actions to improve potential CV users' confidence in the privacy of data shared by disclosing the data management process, data privacy protection efforts, building public trust in the data manager, and introducing/enforcing laws regarding data privacy protection.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000038/pdfft?md5=be5d54c69489c16f872c7bd19053043c&pid=1-s2.0-S2772424722000038-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76492140","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}

引用次数: 6

Quantifying out-of-station waiting time in oversaturated urban metro systems 过饱和城市地铁系统出站等待时间的量化

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100052

Kangli Zhu , Zhanhong Cheng , Jianjun Wu , Fuya Yuan , Lijun Sun

{"title":"Quantifying out-of-station waiting time in oversaturated urban metro systems","authors":"Kangli Zhu , Zhanhong Cheng , Jianjun Wu , Fuya Yuan , Lijun Sun","doi":"10.1016/j.commtr.2022.100052","DOIUrl":"10.1016/j.commtr.2022.100052","url":null,"abstract":"<div><p>Metro systems in megacities such as Beijing, Shenzhen, and Guangzhou are under great passenger demand pressure. During peak hours, it is common to see oversaturated conditions (i.e., passenger demand exceeds network capacity) and a popular control intervention is to restrict the entering rate by setting up out-of-station queueing with crowd control barriers. The <em>out-of-station waiting</em> can make up a substantial proportion of total travel time but is often ignored in the literature. Quantifying out-of-station waiting is important to evaluating the social benefit and cost of metro services; however, out-of-station waiting is difficult to estimate because it leaves no trace in smart card transactions of metros. In this study, we estimate the out-of-station waiting time by leveraging the information from a small group of transfer passengers—those who transfer from nearby bus routes to the metro station. Based on the transfer interval of this small group, we infer the out-of-station waiting time for all passengers by a Gaussian Process regression and then use the estimated out-of-station waiting time to build queueing diagrams. We apply our method to the Tiantongyuan North station of Beijing metro; results show that the maximum out-of-station waiting time can reach 15 min, and the maximum queue length can be over 3000 passengers. We find out-of-station waiting can cause significant travel costs and thus should be considered in analyzing transit performance, mode choice, and social benefits. To the best of our knowledge, this paper is the first quantitative study for out-of-station waiting time.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000026/pdfft?md5=9dc2fb4c5d1cc32b9d4e3691a43e0be7&pid=1-s2.0-S2772424722000026-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79322155","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}

引用次数: 5

Transport network downsizing based on optimal sub-network 基于最优子网络的传输网络精简

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100079

Matthieu Guillot , Angelo Furno , El-Houssaine Aghezzaf , Nour-Eddin El Faouzi

{"title":"Transport network downsizing based on optimal sub-network","authors":"Matthieu Guillot , Angelo Furno , El-Houssaine Aghezzaf , Nour-Eddin El Faouzi","doi":"10.1016/j.commtr.2022.100079","DOIUrl":"10.1016/j.commtr.2022.100079","url":null,"abstract":"<div><p>Transportation networks are sized to efficiently achieve some set of service objectives. Under particular circumstances, such as the COVID-19 pandemic, the demand for transportation can significantly change, both qualitatively and quantitatively, resulting in an over-capacitated and less efficient network. In this paper, we address this issue by proposing a framework for resizing the network to efficiently cope with the new demand. The framework includes a model to determine an optimal transportation sub-network that guarantees the following: (i) the minimal access time from any node of the <em>urban network</em> to the new sub-network has <em>not excessively increased</em> compared to that of the original <em>transportation network</em>; (ii) the delay induced on any itinerary by the removal of nodes from the original transportation network has not <em>excessively increased</em>; and (iii) the number of removed nodes from the transportation network is within a preset known factor. A solution is optimal if it induces a minimal global delay. We modelled this problem as a Mixed Integer Linear Program and applied it to the public bus transportation network of Lyon, France, in a case study. In order to respond to operational issues, the framework also includes a decision tool that helps the network planners to decide which bus lines to close and which ones to leave open according to specific trade-off preferences. The results on real data in Lyon show that the optimal sub-network from the MILP model can be used to feed the decision tool, leading to operational scenarios for network planners.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000294/pdfft?md5=2996b5d7219565835804c81a1d716813&pid=1-s2.0-S2772424722000294-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79099157","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}

引用次数: 4

Cyber security of railway cyber-physical system (CPS) – A risk management methodology 铁路网络物理系统(CPS)的网络安全。风险管理方法

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100078

Zezhou Wang, Xiang Liu

{"title":"Cyber security of railway cyber-physical system (CPS) – A risk management methodology","authors":"Zezhou Wang, Xiang Liu","doi":"10.1016/j.commtr.2022.100078","DOIUrl":"10.1016/j.commtr.2022.100078","url":null,"abstract":"<div><p>Along with the increasing application of different cyber-physical systems (CPSs) to connect various components in the rail industry, rising connectivity through communication technologies has also introduced cyber threats against rail-CPSs, causing failures with huge consequences. Implementations of rail-CPSs demand proactive identification, clear-cut definition, and proper handling of their cyber security risks. In this paper, we formulate a risk management methodology for cyber security in rail-CPSs and conduct a retrospective case study on the Advanced Train Control System (ATCS) that has been deployed in many U.S. freight railways. The methodology provides two alternative approaches to fill knowledge gaps in contingency preparation, threat prevention, consequence analysis, and security risk mitigation. In the case study, we demonstrate two cyber threats of ATCS, using attack sequence modeling and consequence analysis, and provide recommendations for risk mitigation. By practicing the methodology with the case study, this work can be used as a general reference to conduct cyber risk management and cyber-robustness evaluations for other existing systems.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000282/pdfft?md5=cc9b39dcabf623bd5f32f3e511686205&pid=1-s2.0-S2772424722000282-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83055120","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}

引用次数: 11