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1. Multiobjective optimization of longitudinal dynamics and energy management for HEVs based on nash bargaining game

Author:
Shumin Ruan; Yue Ma; Ningkang Yang; Qi Yan; Changle Xiang
Source:
Energy 2023 v.262 pp. 125422
ISSN:
0360-5442
Subject:
traffic,   etc   ; energy efficiency; fuels;     Show all 3 Subjects
Abstract:
... Appropriate coordination among multiple power components is essential to improve energy efficiency, traffic safety and driving comfort simultaneously for hybrid electric vehicles. Previous methods for these multiobjective co-optimization issues, on the other hand, may result in misleading optimization when the vehicle is driven in complicated and varied scenarios. To overcome these limitations, th ...
DOI:
10.1016/j.energy.2022.125422

2. An 18-country analysis of the effectiveness of five front-of-pack nutrition labels

Author:
Simone Pettigrew; Michelle I. Jongenelis; Alexandra Jones; Serge Hercberg; Chantal Julia
Source:
Food quality and preference 2023 v.104 pp. 104691
ISSN:
0950-3293
Subject:
traffic,   etc   ; food quality; steers;     Show all 3 Subjects
Abstract:
... Various front-of-pack food labels (FoPLs) are being introduced across the world, and discussion continues about the most effective label formats to improve consumers’ (i) understanding of the relative healthiness of alternative products and (ii) product choices. Of increasing interest is the relative ability of different types of labels to steer consumers away from unhealthy options (aversion) ver ...
DOI:
10.1016/j.foodqual.2022.104691

3. Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context

Author:
Xinyi Zhou; Zhuanxi Luo; Haiming Wang; Yinchai Luo; Ruilian Yu; Shufeng Zhou; Zhenhong Wang; Gongren Hu; Baoshan Xing
Source:
Journal of hazardous materials 2023 v.441 pp. 129878
ISSN:
0304-3894
Subject:
traffic,   etc   ; climate; data collection; economic sustainability; education; energy; microplastics; temperature; China;     Show all 9 Subjects
Abstract:
... Little information is available on different contribution of TMPs from tire wear particles (TWPs), recycled tire crumbs (RTCs) and tire repair-polished Debris (TRDs) in the environment at national scale and their potential tendency. In this study, the TWPs were predicted using machine learning method of CNN (Convolutional Neural Networks) algorithms under different potential socioeconomic and clim ...
DOI:
10.1016/j.jhazmat.2022.129878

4. Awareness, use and understanding of nutrition labels among adults from five countries: Findings from the 2018–2020 International Food Policy Study

Author:
Rachel B. Acton; Vicki L. Rynard; Jean Adams; Jasmin Bhawra; Adrian J. Cameron; Alejandra Contreras-Manzano; Rachel E. Davis; Alejandra Jáuregui; Gary Sacks; James F. Thrasher; Lana Vanderlee; Christine M. White; David Hammond
Source:
Appetite 2023 v.180 pp. 106311
ISSN:
0195-6663
Subject:
traffic,   etc   ; appetite; cross-sectional studies; food policy; guidelines; nutrition; Australia; Canada; Mexico;     Show all 9 Subjects
Abstract:
... Few studies have compared the effects of different front-of-package label (FOPL) systems in the ‘real world’. This study assessed adults’ awareness, use and understanding of nutrition facts labels (NFLs) and nationally implemented FOPLs such as Health Star Ratings (HSR), Traffic lights, and Guideline Daily Amounts (GDAs) in five countries, including before and after implementation of Mexico’s warn ...
DOI:
10.1016/j.appet.2022.106311

5. Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data

Author:
Wenwei Che; Yumiao Zhang; Changqing Lin; Yik Him Fung; Jimmy C.H. Fung; Alexis K.H. Lau
Source:
Journal of environmental sciences (China) 2023 v.125 pp. 513-523
ISSN:
1001-0742
Subject:
traffic,   etc   ; air pollution; air quality; meteorology; nitrogen dioxide; particulates; urban areas; urbanization; China;     Show all 9 Subjects
Abstract:
... Traditional air quality data have a spatial resolution of 1 km or above, making it challenging to resolve detailed air pollution exposure in complex urban areas. Combining urban morphology, dynamic traffic emission, regional and local meteorology, physicochemical transformations in air quality models using big data fusion technology, an ultra-fine resolution modeling system was developed to provid ...
DOI:
10.1016/j.jes.2022.02.041

6. Mapping and assessment of recreational cultural ecosystem services supply and demand in Vilnius (Lithuania)

Author:
Marius Kalinauskas; Katažyna Bogdzevič; Eduardo Gomes; Miguel Inácio; Damia Barcelo; Wenwu Zhao; Paulo Pereira
Source:
Science of the total environment 2023 v.855 pp. 158590
ISSN:
0048-9697
Subject:
traffic,   etc   ; air quality; cultural heritage; ecosystems; environment; models; public transportation; recreation; supply balance; surveys; urbanization; Lithuania;     Show all 12 Subjects
Abstract:
... This work aims to map and assess the recreational culture ecosystem services (CES) supply and demand in Vilnius. A novel framework individually assessed natural recreational CES supply and cultural recreational CES supply dimensions. So far, the previous works did not consider both CES components individually. Also, the validation of CES models is scarce and challenging. This work aims to map and ...
DOI:
10.1016/j.scitotenv.2022.158590

7. Determinants of spatial variability of air pollutant concentrations in a street canyon network measured using a mobile laboratory and a drone

Author:
Leena Järvi; Mona Kurppa; Heino Kuuluvainen; Topi Rönkkö; Sasu Karttunen; Anna Balling; Hilkka Timonen; Jarkko V. Niemi; Liisa Pirjola
Source:
Science of the total environment 2023 v.856 pp. 158974
ISSN:
0048-9697
Subject:
traffic,   etc   ; aerosols; air; air pollutants; air temperature; carbon; environment; equations; nitric oxide; ozone; summer; surface area; temporal variation; turbulent flow; wind; Finland;     Show all 16 Subjects
Abstract:
... Urban air pollutant concentrations are highly variable both in space and time. In order to understand these variabilities high-resolution measurements of air pollutants are needed. Here we present results of a mobile laboratory and a drone measurements made within a street-canyon network in Helsinki, Finland, in summer and winter 2017. The mobile laboratory measured the total number concentration ...
DOI:
10.1016/j.scitotenv.2022.158974

8. Modulation of chlorpyrifos toxicity to soil arthropods by simultaneous exposure to polyester microfibers or tire particle microplastics

Author:
Salla Selonen; Anita Jemec Kokalj; Hiba Benguedouar; Somayye Sadat Alavian Petroody; Andraž Dolar; Damjana Drobne; Cornelis A.M. van Gestel
Source:
Applied soil ecology 2023 v.181 pp. 104657
ISSN:
0929-1393
Subject:
traffic,   etc   ; Folsomia candida; Porcellio scaber; acetylcholinesterase; bioavailability; chlorpyrifos; death; electron transfer; lethal concentration 50; microplastics; plant protection; polyesters; reproduction; sewage sludge; soil; soil ecology; toxicity;     Show all 17 Subjects
Abstract:
... Synthetic fibers released from sewage sludge and tire particles released from traffic are among the most common types of microplastics in soil. In soil, microplastics may interact with chemicals, such as plant protection products used in agriculture. Most studies on the interactions of microplastics and chemicals focused on aquatic environments and only few addressed soil arthropods. To increase t ...
DOI:
10.1016/j.apsoil.2022.104657

9. Charging demand forecasting of electric vehicles considering uncertainties in a microgrid

Author:
Chuanshen Wu; Sufan Jiang; Shan Gao; Yu Liu; Haiteng Han
Source:
Energy 2022 v.247 pp. 123475
ISSN:
0360-5442
Subject:
traffic,   etc   ; energy; weather;     Show all 3 Subjects
Abstract:
... The currently increasing integration of electric vehicles (EVs) in microgrids (MGs) has gained significant attention. However, affected by the high uncertainties of weather, traffic, and driver behavior, the charging demand of EVs is difficult to forecast accurately. In this study, an optimal parameter forecasting method is presented to improve the forecasting accuracy of charging demand of EVs in ...
DOI:
10.1016/j.energy.2022.123475

10. Evaluation of dredging efficiency indices of TSHDs deployed in a navigational channel leading to Haldia Dock Complex

Author:
Bikas Chaudhuri; Ambarish Ghosh; Balkrishna Yadav; Rajesh Prakash Dubey; Partha Samadder; Arijit Ghosh; Aritra Das; Suvrajit Majumder; Suvendu Bhandari; Navdeep Singh; Sibnath Das
Source:
ISH journal of hydraulic engineering 2022 v.28 no.S1 pp. 471-479
ISSN:
2164-3040
Subject:
traffic,   etc   ; methodology; India;     Show all 3 Subjects
Abstract:
... The navigational channel leading to Haldia Dock Complex suffers heavy sedimentation causing gradual reduction of water depth and posing inconvenience for marine traffic movements. To overcome this problem, Kolkata Port Trust (KoPT) undertook a long-term maintenance dredging plan for the achievement of desirable navigable depths. Trailing Suction Hopper Dredgers (TSHD) of Dredging Corporation of In ...
DOI:
10.1080/09715010.2020.1786738

11. Collection of datasets with DNS over HTTPS traffic

Author:
Kamil Jeřábek; Karel Hynek; Tomáš Čejka; Ondřej Ryšavý
Source:
Data in Brief 2022 v.42 pp. 108310
ISSN:
2352-3409
Subject:
traffic,   etc   ; Internet; data collection;     Show all 3 Subjects
Abstract:
... Recently, the Internet has adopted the DNS over HTTPS (DoH) resolution mechanism for privacy-aware network applications. As DoH becomes more disseminated, it has also become a network monitoring research topic. For comprehensive evaluation and comparison of developed classifiers, real-world datasets are needed, motivating this contribution. We created a new large-scale collection of datasets consi ...
DOI:
10.1016/j.dib.2022.108310

12. Encrypted Web traffic dataset: Event logs and packet traces

Author:
Stanislav Špaček; Petr Velan; Pavel Čeleda; Daniel Tovarňák
Source:
Data in Brief 2022 v.42 pp. 108188
ISSN:
2352-3409
Subject:
traffic,   etc   ; Internet; data collection;     Show all 3 Subjects
Abstract:
... We present a dataset that captures seven days of monitoring data from eight servers hosting more than 800 sites across a large campus network. The dataset contains data from network monitoring and host-based monitoring. The first set of data are packet traces collected by a probe situated on the network link in front of the web servers. The traces contain encrypted HTTP over TLS 1.2 communication ...
DOI:
10.1016/j.dib.2022.108188

13. Machine learning regression and classification methods for fog events prediction

Author:
C. Castillo-Botón; D. Casillas-Pérez; C. Casanova-Mateo; S. Ghimire; E. Cerro-Prada; P.A. Gutierrez; R.C. Deo; S. Salcedo-Sanz
Source:
Atmospheric research 2022 v.272 pp. 106157
ISSN:
0169-8095
Subject:
traffic,   etc   ; air; prediction; research;     Show all 4 Subjects
Abstract:
... Atmospheric low-visibility events are usually associated with fog formation. Extreme low-visibility events deeply affect the air and ground transportation, airports and motor-road facilities causing accidents and traffic problems every year. Machine Learning (ML) algorithms have been successfully applied to many fog formation and low-visibility prediction problems. The associated problem can be fo ...
DOI:
10.1016/j.atmosres.2022.106157

14. Modelling fire occurrences in heavy goods vehicles in road tunnels

Author:
Ådne Njå; Jan Terje Kvaløy; Ove Njå
Source:
Fire safety journal 2022 v.127 pp. 103508
ISSN:
0379-7112
Subject:
traffic,   etc   ; fire safety; infrastructure;     Show all 3 Subjects
Abstract:
... The project reported in this paper has been organized to scrutinize current incident data on near fires and fully developed fires in Norwegian road tunnels longer than 500 m. This length is chosen because it is assumed that shorter tunnels are less critical in case of fires. The project included collecting data and transferring it into formats enabling mathematical modelling. The major issue of th ...
DOI:
10.1016/j.firesaf.2021.103508

15. A complementary and precise vehicle detection approach in RGB-T images via semi-supervised transfer learning and decision-level fusion

Author:
Xun Xun Zhang; Xiao Yu Lu; Lang Peng
Source:
International journal of remote sensing 2022 v.43 no.1 pp. 196-214
ISSN:
1366-5901
Subject:
traffic,   etc   ; algorithms; data collection;     Show all 3 Subjects
Abstract:
... Owing to the strong complementarity between visible and infra-red thermal (RGB-T) images, the two types of images receive the increased application of vehicle detection in traffic monitoring. Now, how to take full advantage of the two kinds of images for vehicle fusion detection has drawn wide publicity. Nevertheless, due to the requirement of high quality and high precision on vehicle fusion dete ...
DOI:
10.1080/01431161.2021.2008543

16. Assessing the impacts of ridesharing services: An agent-based simulation approach

Author:
Ruixiao Sun; Xuanke Wu; Yuche Chen
Source:
Journal of cleaner production 2022 v.372 pp. 133664
ISSN:
0959-6526
Subject:
traffic,   etc   ; energy; travel; Tennessee;     Show all 4 Subjects
Abstract:
... A shift from privately owned vehicles to shared mobility services can affect mobility, energy consumption, and vehicle emissions. Existing literature on ridesharing services has focused on evaluating its traffic and economic impacts. In this study, we propose an integrated framework to analyze the efficiency and environmental benefits of ridesharing on a regional scale. The framework utilizes an a ...
DOI:
10.1016/j.jclepro.2022.133664

17. A novel real-time energy management strategy based on Monte Carlo Tree Search for coupled powertrain platform via vehicle-to-cloud connectivity

Author:
Xiao Yu; Cheng Lin; Peng Xie; Sheng Liang
Source:
Energy 2022 v.256 pp. 124619
ISSN:
0360-5442
Subject:
traffic,   etc   ; batteries; energy; torque;     Show all 4 Subjects
Abstract:
... To improve the performance and efficiency of the energy management strategy used in electric vehicles equipped with a dual-motor coupled powertrain platform, this study proposes a systematic real-time search approach via vehicle-to-cloud (V2C) connectivity to reduce the battery degradation and electrical consumption by control working mode and split torque. To be specific, the Monte Carlo Tree Sea ...
DOI:
10.1016/j.energy.2022.124619

18. Regression analyses of the data sets for the analysis of decomposition error in discrete-time open tandem queues

Author:
Christoph Jacobi; Kai Furmans
Source:
Data in Brief 2022 v.45 pp. 108640
ISSN:
2352-3409
Subject:
traffic,   etc   ; regression analysis; variance;     Show all 3 Subjects
Abstract:
... The data sets and regression models presented here are related to the article “Point and interval estimation of decomposition error in discrete-time open tandem queues” [1]. The data sets are the first to analyze the approximation quality of the discrete-time decomposition approach and contain independent and dependent (explanatory) variables for the analysis of decomposition error, which were obt ...
DOI:
10.1016/j.dib.2022.108640

19. The effects of traffic management systems on the yield and economics of crops grown in deep, shallow and zero tilled sandy loam soil over eight years.

Author:
Richard J. Godwin; David R. White; Edward T. Dickin; Magdalena Kaczorowska-Dolowy; William A.J. Millington; Emily K. Pope; Paula A. Misiewicz
Source:
Soil & tillage research 2022 v.223 pp. 105465
ISSN:
0167-1987
Subject:
controlled traffic systems; traffic,   etc   ; barley; deep tillage; no-tillage; research; sandy loam soils; tires; wheat;     Show all 9 Subjects
Abstract:
... This paper reports on a 3 × 3 factorial study to consider the effects of controlled traffic (CTF), low tyre inflation pressure (high flexion) tyres (LTP) and standard tyre inflation pressure (STP) farming systems for deep, shallow and zero tillage practices on the yield of wheat, barley, oats and field beans grown in a sandy loam soil in the UK. The main effect of tillage showed that the zero till ...
DOI:
10.1016/j.still.2022.105465

20. Data set and machine learning models for the classification of network traffic originators

Author:
Daniele Canavese; Leonardo Regano; Cataldo Basile; Gabriele Ciravegna; Antonio Lioy
Source:
Data in Brief 2022 v.41 pp. 107968
ISSN:
2352-3409
Subject:
traffic,   etc   ; computers; data collection; statistics;     Show all 4 Subjects
Abstract:
... The widespread adoption of encryption in computer network traffic is increasing the difficulty of analyzing such traffic for security purposes. The data set presented in this data article is composed of network statistics computed on captures of TCP flows, originated by executing various network stress and web crawling tools, along with statistics of benign web browsing traffic. Furthermore, this ...
DOI:
10.1016/j.dib.2022.107968