Transportation Engineering最新文献_第6页

Investigation of injection rate characteristics and applicability of palm-biodiesel blending ratios in various diesel injector nozzle geometries under simulated CI engine operating conditions 模拟CI发动机工况下棕榈-生物柴油混合比例在不同喷嘴形状下的喷射速率特性及适用性研究

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-08-02 DOI: 10.1016/j.treng.2025.100378

Tan Chau Vo, Trung An Huynh

{"title":"Investigation of injection rate characteristics and applicability of palm-biodiesel blending ratios in various diesel injector nozzle geometries under simulated CI engine operating conditions","authors":"Tan Chau Vo, Trung An Huynh","doi":"10.1016/j.treng.2025.100378","DOIUrl":"10.1016/j.treng.2025.100378","url":null,"abstract":"<div><div>Variations in fuel properties, particularly density and kinematic viscosity, and the disturbed fuel flow inside the nozzle tip significantly affect the accurate determination of injection rate (IR) profiles and injection timing, impacting on their critical association with the effective diesel combustion mechanism, consequently posing a major challenge to the application of biofuels in diesel engines. This study investigates the effects of palm-biodiesel blending ratios and nozzle hole diameters on IR characteristics, serving as a comparative basis with diesel (B0) under various injection pressures. Three single-hole injectors with different nozzle hole diameters (0.28, 0.30, and 0.35 mm) and four palm-biodiesel blends (B15, B30, B60, and B100) were tested across a wide pressure range (400–1600 bar). Experiments were performed under a constant injection quantity, allowing isolated analysis of kinematic viscosity effects on the IR characteristics of a solenoid common-rail injector, while disregarding the influence of fuel density. The results show that blends up to B60 produce IR profiles comparable to diesel, exhibiting slightly lower quasi-steady state IR and marginally longer injection delays. In contrast, a clearly distinct trend for 100 % palm-biodiesel is observed. Increasing the nozzle hole diameter from 0.28 mm to 0.30 mm (7.14 % increase) and to 0.35 mm (16.67 % increase) enhances the quasi-steady-state IR of B100 by approximately 20.3 % and 39.4 %, respectively, across the experimental injection pressure range. At injection pressures below 1200 bar, the discharge coefficient of palm-biodiesel blends up to 60 % differs minimally from diesel; however, a noticeable opposite trend emerges for B60 at higher pressures.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100378"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144763933","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}

引用次数: 0

The grouping of heavy goods vehicles phenomenon. A case study based on Weigh-in-Motion data on a French highway 重型货车的分组现象。基于法国高速公路动态称重数据的案例研究

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-06-27 DOI: 10.1016/j.treng.2025.100363

Christophe Mundutéguy , Özgür Aycik , Jean-François Bercher , Emmanuel Cohen , Franziska Schmidt

{"title":"The grouping of heavy goods vehicles phenomenon. A case study based on Weigh-in-Motion data on a French highway","authors":"Christophe Mundutéguy , Özgür Aycik , Jean-François Bercher , Emmanuel Cohen , Franziska Schmidt","doi":"10.1016/j.treng.2025.100363","DOIUrl":"10.1016/j.treng.2025.100363","url":null,"abstract":"<div><div>This study deals with the manual grouping phenomenon of heavy vehicles (over 3.5 tons), which refers to vehicles following a vehicle of the same group (rigid box truck, bobtail truck…) in the same lane with time gaps less than or equal to 2 s and which presents a speed differential of zero, or more or less equal to the margin of error of the measuring instruments. By focusing precisely on these time gaps, we sought to determine the share of heavy truck drivers who play with the net headway imposed by the highway code in close-following conditions and who might also the most likely to adopt platooning technology given the similarity between the two situations. The data explored in this study was recorded by weigh-in-motion (WIM) systems located on several French high-speed roads. Each time a vehicle passes, the system increments an indicator and for each truck records: time, total weight and axle weight, number of axles, and instantaneous speed… We worked on a database containing about two million records, generated by a WIM system located in the south of France during the calendar year 2015. After a presentation of how we completed, organized and pre-processed the information in this database not designed for this purpose, we indicate how we constructed relevant variables from these data and conducted linear regression model on inter-distance and K-means classification in order to distinguish subgroups of truck drivers in the close following situations. The results show that this phenomenon which is rare on this type of road, is more correlated with the level of heavy vehicle traffic than with general traffic.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100363"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535933","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}

引用次数: 0

Unveiling pedestrian injury severity risk factors: A comparative analysis of machine learning and deep learning methods 揭示行人伤害严重程度风险因素：机器学习和深度学习方法的比较分析

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-05-25 DOI: 10.1016/j.treng.2025.100352

Zia Ur Rehman , Jiang Chaozhe , Arshad Jamal , Yahya Almarhabi , Chenzhu Wang , Edris Alam , Md Kamrul Islam

{"title":"Unveiling pedestrian injury severity risk factors: A comparative analysis of machine learning and deep learning methods","authors":"Zia Ur Rehman , Jiang Chaozhe , Arshad Jamal , Yahya Almarhabi , Chenzhu Wang , Edris Alam , Md Kamrul Islam","doi":"10.1016/j.treng.2025.100352","DOIUrl":"10.1016/j.treng.2025.100352","url":null,"abstract":"<div><div>Pedestrian safety poses a pressing public health concern globally, accounting for a significant proportion of traffic-related injuries. Understanding the risk factors in vehicle crashes involving pedestrians is vital to developing and implementing effective countermeasures and policies. Existing studies have mainly focused on identifying pedestrians’ risk predictors through conventional statistical and machine learning models. Despite the growing importance of these models in traffic safety, the consistency of risk factors among machine learning and deep learning approaches has been scarcely explored. This study fills a research gap by modeling pedestrian traffic collisions through systematic machine and deep learning frameworks and comparing the consistency of severity risk factors between both methods. Pedestrian crash data from Rawalpindi, Pakistan, are used to develop two machine learning models (Random Forest and Gradient-Boosted Trees) and a Deep Neural Network (DNN) model. Further, a comprehensive analysis of vehicle-hit pedestrian crashes is conducted using the Shapley Additive exPlanations (SHAP) analytics. Modeling results revealed that the DNN model outperformed other models, achieving a prediction accuracy of 93.51 %. Analysis for critical risk factors using the Random Forest model indicates that variables such as season of the year, weather types, and crash characteristics (such as overspeeding, distractions, and vehicle-pedestrian collision types), time of the crash are consistent with those obtained from DNN model. These consistent results highlight the ability of machine learning and deep learning models to provide interpretable insights that can direct the development of affordable and effective safety measures to enhance pedestrian safety</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100352"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262218","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}

引用次数: 0

Evaluating the efficiency of spatial-geographical models for vehicle crash frequency estimation: A case study on the urban road network of hamadan province 空间地理模型在车辆碰撞频率估计中的有效性评价——以哈马丹省城市道路网络为例

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-06-27 DOI: 10.1016/j.treng.2025.100362

Seyed Ahmadreza Almasi

{"title":"Evaluating the efficiency of spatial-geographical models for vehicle crash frequency estimation: A case study on the urban road network of hamadan province","authors":"Seyed Ahmadreza Almasi","doi":"10.1016/j.treng.2025.100362","DOIUrl":"10.1016/j.treng.2025.100362","url":null,"abstract":"<div><div>This study evaluates the efficiency of spatial-geographical models in estimating vehicle crash frequency, focusing on the main urban roads network of Hamadan Province, Iran. Traditional models such as Generalized Linear Models (GLM) assume constant parameters across locations, while spatial models like Geographically Weighted Regression (GWR) and Geographically Weighted Poisson Regression (GWPR) capture spatial heterogeneity by allowing parameters to vary geographically. A total of 2995 vehicle crashes (2497 injurious and 496 fatal) between 2017 and 2019 were analyzed across 1071 one-kilometer segments. The models were evaluated using multiple bandwidths in Kernel Density Estimation (KDE), where a 300-meter bandwidth yielded the best accuracy. GLM models using only AADT showed a parameter estimate of 0.75, while the full model including all predictors significantly improved the statistical fit (reduced AIC). GWPR models outperformed both GLM and GWR in terms of AIC, AICc, MAE, and RMSE. Spatial variation in the effect of variables such as traffic volume, road slope, and speed deviations revealed the importance of incorporating geographic heterogeneity in crash modeling. The findings suggest that localized modeling can lead to more accurate crash predictions and better-informed traffic safety interventions.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100362"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557328","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}

引用次数: 0

A random forest and SHAP-based analysis of motorcycle crash severity in Thailand: Urban-rural and day-night perspectives 泰国摩托车碰撞严重程度的随机森林和基于shap的分析：城乡和昼夜视角

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-07-11 DOI: 10.1016/j.treng.2025.100369

Sonita Sum , Chamroeun Se , Thanapong Champahom , Sajjakaj Jomnonkwao , Sanjeev Sinha , Vatanavongs Ratanavaraha

{"title":"A random forest and SHAP-based analysis of motorcycle crash severity in Thailand: Urban-rural and day-night perspectives","authors":"Sonita Sum , Chamroeun Se , Thanapong Champahom , Sajjakaj Jomnonkwao , Sanjeev Sinha , Vatanavongs Ratanavaraha","doi":"10.1016/j.treng.2025.100369","DOIUrl":"10.1016/j.treng.2025.100369","url":null,"abstract":"<div><div>Road traffic crashes pose significant public safety concern globally, causing severe injuries and fatalities. Motorcyclists face heightened crash risks and injury severity, particularly in developing countries like Thailand, where motorcycles serve as a primary mode of transportation. This study examines motorcycle crash severity across four distinct scenarios: urban daytime, urban nighttime, rural daytime, and rural nighttime. Analyzing 12,266 crashes from Thailand's Highway Accident Information Management System (HAIMS) spanning 2020–2022, Random Forest (RF) modeling combined with SHapley Additive exPlanations (SHAP) was applied to identify key severity determinants while enhancing model interpretability. The analysis revealed significant variations across scenarios based on roadway characteristics, environmental conditions, crash causes, and vehicle involvement. Crashes involving large trucks, head-on collisions, roads with depressed medians, and darkness were associated with increased severity. Conversely, those involving passenger cars, side-swipe collisions, roads with barrier medians, and well-lit locations exhibited lower severity. To assess its effectiveness, RF was benchmarked against Logistic Regression and Decision Tree models and consistently outperformed them across all crash scenarios. The models achieved classification accuracies of 66.5 % (urban day), 64.7 % (urban night), 63.8 % (rural day), and 65.9 % (rural night), while SHAP analysis illuminated the factors driving these predictions. These findings offer critical insights for policymakers and transportation planners, enabling the development of targeted interventions tailored to specific environmental and temporal conditions. By integrating machine learning with explainable artificial intelligence, this study advances data-driven approaches for enhancing motorcycle safety and crash prevention measures.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100369"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632566","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}

引用次数: 0

Improving pavements through an innovative asphalt graphene-modified thin layer: a case study 通过新型沥青石墨烯改性薄层改善路面：案例研究

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-07-01 DOI: 10.1016/j.treng.2025.100367

Francesca Maltinti, James Rombi, Mauro Coni

{"title":"Improving pavements through an innovative asphalt graphene-modified thin layer: a case study","authors":"Francesca Maltinti, James Rombi, Mauro Coni","doi":"10.1016/j.treng.2025.100367","DOIUrl":"10.1016/j.treng.2025.100367","url":null,"abstract":"<div><div>Road agencies must prioritize efficient pavement preservation while exploring innovative materials and techniques to reduce maintenance durations, costs, and traffic disruptions. This paper presents an innovative and original graphene-modified thin asphalt layer (GMTL), positioned between the binder and wearing course, offering great potential for restoring road pavements. Various tests were conducted both in the laboratory and on the construction site to assess the impact of the GMTL. Results show a remarkable volumetric behaviour of the GMTL, with mean void values of 14.3 % at 10 cycles, 5.6 % at 120 cycles, and 4.6 % at 230 cycles along with good mixture workability. Moreover, tests performed on core samples with GMTL showed an increase of 33.2 % in indirect tensile strength and 10 % in indirect tensile stiffness modulus values. The fatigue curves show particularly high performance with a very good resistance to cyclic loads in terms of both stress and deformation.</div><div>Original tests were carried out using a falling weight deflectometer (FWD) to characterize the deformability and stiffness of the pavement in a trial section. According to the results, the GMTL raises the hot mix asphalt (HMA) base stiffness by 14 % and the binder modulus by 22 %. In addition, an increase of 26 % was observed in the rigidity of the cement-treated base layer.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100367"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611526","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}

引用次数: 0

A comprehensive review of clustering methods applications in electric mobility 聚类方法在电动交通中的应用综述

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-07-14 DOI: 10.1016/j.treng.2025.100360

Marcelo Forte , Cindy P. Guzman , Lucas Pereira , Hugo Morais

{"title":"A comprehensive review of clustering methods applications in electric mobility","authors":"Marcelo Forte , Cindy P. Guzman , Lucas Pereira , Hugo Morais","doi":"10.1016/j.treng.2025.100360","DOIUrl":"10.1016/j.treng.2025.100360","url":null,"abstract":"<div><div>The continuous growth of electric vehicles (EVs) has been boosted by the need to achieve society’s decarbonization targets. The mass adoption of EVs introduces new challenges in the power systems planning and operation, mainly due to the uncertainty related to EV users’ behavior and charging needs. Some of the difficulties motivated by the uncoordinated behavior of EVs are the occurrence of voltage instabilities, system overcurrents, and harmonic distortion. In this context, clustering can help better understand and categorize the behavior of EVs and electric vehicle supply equipment (EVSE) usage, with multiple research studies devoted to the study of clustering methods to offer solutions for these problems. This manuscript comprehensively presents a review of clustering methods applications for electric mobility that focus on the possibility of identifying different groups of EV charging processes, through clustering, to provide support in characterizing EV charging profiles, EV user behavior, and EVSE accessibility and location. For that, we present a roadmap that starts with cluster analysis, in which the most utilized mathematical clustering and validation techniques are detailed. Then, several EV charging datasets are described, followed by a review of research works focusing on clustering applications in EV data, considering three main categories, namely EV charging profiles, EV user behavior, and EVSE accessibility and location.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100360"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653103","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}

引用次数: 0

A blockchain ecosystem model for a sustainable last-mile delivery operation management 区块链生态系统模式，实现可持续的最后一英里配送运营管理

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-08-05 DOI: 10.1016/j.treng.2025.100379

Mohammad Yaser Mofatteh, Omid Fatahi Valilai

引用次数: 0

Performance and energy sizing of a series-hybrid aircraft using a modified energy distribution diagram and energy balance diagram: A case study of a German operator 基于改进的能量分布图和能量平衡图的串联混合动力飞机性能和能量大小：以德国运营商为例

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-08-04 DOI: 10.1016/j.treng.2025.100380

Bright Appiah Adu-Gyamfi , Clara Good , Steffen Haakon Schrader , Vegard Nergård

{"title":"Performance and energy sizing of a series-hybrid aircraft using a modified energy distribution diagram and energy balance diagram: A case study of a German operator","authors":"Bright Appiah Adu-Gyamfi , Clara Good , Steffen Haakon Schrader , Vegard Nergård","doi":"10.1016/j.treng.2025.100380","DOIUrl":"10.1016/j.treng.2025.100380","url":null,"abstract":"<div><div>In pursuing sustainable aviation, efficient energy management is paramount, particularly for short-duration high-power flights, common in regional transport sectors. This paper presents a novel methodology for sizing batteries in hybrid-electric aircraft, specifically applied to a series-hybrid electric retrofit of the GA8 Airvan operated by Ostfriesischer-Flug-Dienst (OFD), which connects the mainland to Germany's northern islands. The core of the proposed approach lies in an innovative algorithm integrating energy distribution and balance considerations to determine the optimal battery size, balancing performance and weight. The study investigates three different charging scenarios, namely 1) overnight charging, 2) charging after each round trip, and 3) charging after each single flight. These alternative scenarios are designed to accommodate the dynamic nature of flight operations to optimize resource utilization and operational efficiency. Findings indicate that recharging the aircraft's battery after each flight is feasible with current technology; however, this practice may accelerate battery degradation. Incorporating an internal combustion engine (ICE) that can be used during diversions or the second leg of the flight significantly reduces fuel consumption by 34 % compared to today’s aircraft, suggesting hybrid systems could balance operational efficiency and sustainability. This research contributes to efforts to reduce aviation's environmental footprint and foster sustainable practices. The methodologies outlined have the potential to influence future electric and hybrid-electric aircraft design and operation, marking a significant step towards eco-friendly skies.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100380"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766832","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}

引用次数: 0

Role of lithium-ion batteries in microgrid system 锂离子电池在微电网系统中的作用

Transportation Engineering Pub Date : 2025-09-01 Epub Date: 2025-07-08 DOI: 10.1016/j.treng.2025.100368

Balvender Singh , Pushpendra Singh , Ghanshyam G. Tejani , Sunil Kumar Sharma , Seyed Jalaleddin Mousavirad

引用次数: 0