Communications in Transportation Research最新文献_第9页

Data fusion and machine learning for ship fuel efficiency modeling: Part III – Sensor data and meteorological data 船舶燃油效率建模的数据融合和机器学习:第三部分-传感器数据和气象数据

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100072

Yuquan Du , Yanyu Chen , Xiaohe Li , Alessandro Schönborn , Zhuo Sun

{"title":"Data fusion and machine learning for ship fuel efficiency modeling: Part III – Sensor data and meteorological data","authors":"Yuquan Du , Yanyu Chen , Xiaohe Li , Alessandro Schönborn , Zhuo Sun","doi":"10.1016/j.commtr.2022.100072","DOIUrl":"https://doi.org/10.1016/j.commtr.2022.100072","url":null,"abstract":"<div><p>Sensors installed on a ship return high quality data that can be used for ship bunker fuel efficiency analysis. However, important information about weather and sea conditions the ship sails through, such as waves, sea currents, and sea water temperature, is often absent from sensor data. This study addresses this issue by fusing sensor data and publicly accessible meteorological data, constructing nine datasets accordingly, and experimenting with widely adopted machine learning (ML) models to quantify the relationship between a ship's fuel consumption rate (ton/day, or ton/h) and its voyage-based factors (sailing speed, draft, trim, weather conditions, and sea conditions). The best dataset found reveals the benefits of fusing sensor data and meteorological data for ship fuel consumption rate quantification. The best ML models found are consistent with our previous studies, including Extremely randomized trees (ET), Gradient Tree Boosting (GB) and XGBoost (XG). Given the best dataset from data fusion, their <em>R</em><sup>2</sup> values over the training set are 0.999 or 1.000, and their <em>R</em><sup>2</sup> values over the test set are all above 0.966. Their fit errors with RMSE values are below 0.75 ton/day, and with MAT below 0.52 ton/day. These promising results are well beyond the requirements of most industry applications for ship fuel efficiency analysis. The applicability of the selected datasets and ML models is also verified in a rolling horizon approach, resulting in a conjecture that a rolling horizon strategy of “5-month training + 1-month test/applicatoin” could work well in practice and sensor data of less than five months could be insufficient to train ML models.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100072"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000221/pdfft?md5=c316fbf94739020173b1e22edeeb9aee&pid=1-s2.0-S2772424722000221-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136849439","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: 0

Variability in total cost of vehicle ownership across vehicle and user profiles 车辆拥有总成本在车辆和用户概况之间的可变性

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100071

Yulu Guo , J. Andrew Kelly , J. Peter Clinch

{"title":"Variability in total cost of vehicle ownership across vehicle and user profiles","authors":"Yulu Guo , J. Andrew Kelly , J. Peter Clinch","doi":"10.1016/j.commtr.2022.100071","DOIUrl":"10.1016/j.commtr.2022.100071","url":null,"abstract":"<div><p>Widespread adoption of electric vehicles (EVs) is a common and critical component of international strategies to mitigate environmental pollution, climate change and oil dependency. The ability of consumers to assess the total cost of ownership (TCO) of EVs relative to internal combustion engine vehicles (ICEVs) remains an important factor for EV uptake. The TCO of vehicles is not universal across different car segments and user profiles. We analyse and compare the TCO of ICEVs and EVs from 17 car segments across short- and long-term ownership periods, and further advance existing TCO approaches by integrating detailed activity-based driving profiles, taxation, grant structures and pricing. Results show that EV options in the most popular Irish car segments have existing battery EV options with a TCO averaging respectively 26% and 42% less than their equivalent petrol and diesel ICEV options over a 4-year ownership term when the current grant is included. This integrated method for granular TCO evaluation offers important insights for this market and affords scope to investigate how changes in travel patterns, car-segment pricing, taxation, grant policy, fuel costs, and carbon pricing and other transport policies can all affect TCO values over time across a broad range of market offerings.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100071"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277242472200021X/pdfft?md5=eb51d0ae3f1db1a36f0f3e6f210073ec&pid=1-s2.0-S277242472200021X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83328416","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: 12

Corrigendum to “State of data platforms for connected vehicles and infrastructures” [Commun. Transport. Res. 1 (2021) 100013] “联网车辆和基础设施数据平台现状”的勘误表[common]。交通工具。Res. 1 (2021) 100013]

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100057

Kai Li Lim , Jake Whitehead , Dongyao Jia , Zuduo Zheng

引用次数: 0

On the urban-rural bus transit system with passenger-freight mixed flow 城乡公交客货混流系统研究

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100054

Xiaobo Qu, Shuaian Wang, Deb Niemeier

引用次数: 25

Accessibility of urban regions on a low car diet – A research agenda for digital twins 低车饮食下城市地区的可达性——数字双胞胎的研究议程

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100077

Bart van Arem, Shadi Sharif Azedeh, Maaike Snelder, Serge Hoogendoorn

引用次数: 0

How machine learning informs ride-hailing services: A survey 机器学习如何影响网约车服务:一项调查

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100075

Yang Liu , Ruo Jia , Jieping Ye , Xiaobo Qu

{"title":"How machine learning informs ride-hailing services: A survey","authors":"Yang Liu , Ruo Jia , Jieping Ye , Xiaobo Qu","doi":"10.1016/j.commtr.2022.100075","DOIUrl":"10.1016/j.commtr.2022.100075","url":null,"abstract":"<div><p>In recent years, online ride-hailing services have emerged as an important component of urban transportation system, which not only provide significant ease for residents’ travel activities, but also shape new travel behavior and diversify urban mobility patterns. This study provides a thorough review of machine-learning-based methodologies for on-demand ride-hailing services. The importance of on-demand ride-hailing services in the spatio-temporal dynamics of urban traffic is first highlighted, with machine-learning-based macro-level ride-hailing research demonstrating its value in guiding the design, planning, operation, and control of urban intelligent transportation systems. Then, the research on travel behavior from the perspective of individual mobility patterns, including carpooling behavior and modal choice behavior, is summarized. In addition, existing studies on order matching and vehicle dispatching strategies, which are among the most important components of on-line ride-hailing systems, are collected and summarized. Finally, some of the critical challenges and opportunities in ride-hailing services are discussed.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000257/pdfft?md5=07ff9b16aa2470ff8e8d6803f5db0dd0&pid=1-s2.0-S2772424722000257-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82210182","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: 27

Estimating freight production/attraction using nighttime satellite imagery 利用夜间卫星图像估算货运产量/吸引力

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100067

Tomoya Kawasaki , Wataru Nakanishi , Satoshi Hyodo , Yusaku Namba , Hirokazu Mori , Hirotoshi Kishi

{"title":"Estimating freight production/attraction using nighttime satellite imagery","authors":"Tomoya Kawasaki , Wataru Nakanishi , Satoshi Hyodo , Yusaku Namba , Hirokazu Mori , Hirotoshi Kishi","doi":"10.1016/j.commtr.2022.100067","DOIUrl":"10.1016/j.commtr.2022.100067","url":null,"abstract":"<div><p>An appropriate understanding and accurate estimation of zonal freight production (FP) and attraction (FA) volume is one of the most important topics and the initial step in developing the origin and destination (OD) matrix. In general, zonal FP and FA are difficult to be obtained as observed data, particularly in developing countries, owing to the lack of large-scale freight surveys. Thus, several proxy indicators are often used for estimating FP and FA, such as the gross regional product (GRP), population, and the number of establishments. However, these indicators do not often estimate the zonal FP and FA accurately and are even not available readily. The nighttime light intensity (NLI) data that is human-induced light emission data and one of the open alternative data, possibly improves the accuracy of FP and FA estimation. However, few studies have examined the relationship between NLI and FP/FA. Therefore, the objectives of this study are to examine whether NLI can be a significant indicator for estimating zonal FP and FA relative to other socio-economic indicators and to examine the types of NLIs that can accurately estimate the FP and FA through a case study in Japan. As a result of the analysis, NLI data are identified as a significant variable for the estimation of FP and FA among various socio-economic variables. Although some of the indicators related to secondary industries provide higher accuracy, NLI exhibits better estimates than the popular indicators such as GRP and population. In addition, we propose three types of total NLI that multiply the unit NLI by the zonal area and this generates higher accuracy of unit NLI, the average light intensity of all pixels in a zone. We have also found that the use of habitable area for the estimation of total NLI provides the highest accuracy among the four types of NLIs including unit NLI. Through the analysis, NLI data is sufficiently applicable for estimating zonal FP and FA, relative to other important socio-economic indicators, although space transferability should be examined in other study areas. These findings could help estimating FP/FA particularly in countries and regions with limited statistical data available.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000178/pdfft?md5=01cb2bbce48e372be6791ea26fbbbdd3&pid=1-s2.0-S2772424722000178-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74815008","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

Data and Code Disclosure and Sharing Policy of communications in transportation research 交通研究中通信数据和代码的披露与共享政策

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100055

Kun Gao, Hua Wang, Shuaian Wang, Xiaobo Qu

引用次数: 3

Public perception of electric vehicles on reddit over the past decade reddit上过去十年公众对电动汽车的看法

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100070

Tao Ruan, Qin Lv

{"title":"Public perception of electric vehicles on reddit over the past decade","authors":"Tao Ruan, Qin Lv","doi":"10.1016/j.commtr.2022.100070","DOIUrl":"10.1016/j.commtr.2022.100070","url":null,"abstract":"<div><p>Understanding public perception of electric vehicles (EVs) is imperative for increasing EV adoption, which can significantly reduce greenhouse gas (GHG) emissions, thereby mitigating climate change and global warming. While most existing research characterizes public perception of EV in the context of surveys, questionnaires, or interviews, our study leverages Reddit online social network (OSN) data to capture EV public perception at a much larger scale. We have collected 3,437,917 Reddit posts (including 274,979 submissions and 3,162,938 comments) between January 2011 and December 2020 relevant to EVs and analyzed them along several axes to understand how EVs are perceived by the public on Reddit through the following research questions: (1) What EV-related topics have been discussed by Reddit users? Whether/how Reddit users’ interest in different topics has changed during 2011–2020? (2) What sentiment do Reddit users hold towards EVs? Whether public sentiment on Reddit has shifted over the past 10 years? (3) Whether/how do various Reddit communities (i.e., subreddits) have different perceptions of EVs? Our analysis evinces the potential of utilizing a large-scale OSN dataset for demonstrating a much wider spectrum of topics that the public is interested in than previous studies show, reveals fringe communities including r/conspiracy have many (controversial) discussions on EVs, especially on the environmental impacts of EVs, and one political community (r/The_Donald) has similar patterns with fringe communities in both sentiment and topic aspects. By answering these research questions, we aim to develop a more comprehensive understanding of the public perception of EVs in the past decade.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"2 ","pages":"Article 100070"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424722000208/pdfft?md5=4917d781c281d51a65a322658f6d0566&pid=1-s2.0-S2772424722000208-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75034124","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: 15

Erratum to “Investigating the impacts of urban speed limit reduction through microscopic traffic simulation” [Commun. Trans. Res. 1C 100018] “通过微观交通模拟调查城市限速降低的影响”的勘误[common]。反式。[Res. 1C 100018]

Communications in Transportation Research Pub Date : 2022-12-01 DOI: 10.1016/j.commtr.2022.100062

Mánuel Gressai, Balázs Varga, Tamás Tettamanti, István Varga

引用次数: 0