International Journal of Transportation Science and Technology最新文献

{"title":"Quantifying the impacts of right-turn-on-red, exclusive turn lanes, and pedestrian movements on the efficiency of urban transportation networks","authors":"Hao Liu,&nbsp;Zecheng Xiong,&nbsp;Vikash V. Gayah","doi":"10.1016/j.ijtst.2024.02.007","DOIUrl":"10.1016/j.ijtst.2024.02.007","url":null,"abstract":"<div><div>Previous studies demonstrated that restricting left turning movements can enhance transportation network efficiency. However, this strategy can lead to significant increases in the volume of right-turn movements. While these right-turn movements do not conflict with opposing through traffic, they still must interact with pedestrians in adjacent crosswalks. Further, their movement is influenced by the presence of right-turn-on-red (RTOR), which is commonly applied at signalized intersections to improve intersection capacity, and the presence of exclusive right-turn lanes. This paper examines the influence of these three factors (pedestrian activity, RTOR, and exclusive right-turn lanes) on vehicular operational performance at a network-wide level. Simple grid network structures are considered due to their generalizability and the performances of three network types are tested: two-way streets that accommodate left turns, two-way streets that prohibit left turns, and one-way streets. The results reveal that when there are no pedestrians, right-ROTR can improve the operational performance regardless of the existence of exclusive lanes, especially for the networks restricting left-turn movements, and the presence of exclusive turn lanes increases the benefits obtained by allowing RTPR. The results also suggest that allowing RTPR is more important than providing exclusive lanes when the traffic load is light; however, under heavier traffic, exclusive turn lanes become more important. The presence of pedestrians reduces overall network performance and the benefits provided by RTPR for most scenarios, as expected. This decrease in performance is larger for networks made up of two-way streets compared to those made up of one-way streets. Exclusive lanes are also found to be critical for two-way streets with left turns protected to maintain network efficiency. Overall, prohibiting left turns on two-way streets still provides the largest operational performance of all networks with these features considered.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"17 ","pages":"Pages 52-66"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139828623","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":"The economic burden of road traffic accidents and injuries: A small island perspective","authors":"Verena Tandrayen-Ragoobur","doi":"10.1016/j.ijtst.2024.03.002","DOIUrl":"10.1016/j.ijtst.2024.03.002","url":null,"abstract":"<div><div>The existing evidence on the economic burden of road accidents on gross domestic product (GDP) focused mainly on developed countries. This paper addresses an important gap in the literature by investigating into the impacts of road traffic accidents and injuries on GDP in the small island of Mauritius. Mauritius, having perceived an important structural transformation over the past decades, is witnessing a rise in road accidents and injuries, which is a concern in terms of economic costs. In addition, it is a small island nation with limited road infrastructure, making it vulnerable to traffic congestion and accidents. The paper provides important insights for other island countries with similar geographic challenges. The Vector error correction model (VECM) approach is used to assessing the existence of a long-run relationship between road traffic accidents and GDP in Mauritius from 1980 to 2020. In addition to road crashes, different levels of injury severity linked to road accidents are evaluated. The results reveal that on average a 1% rise in road accidents leads to a 0.42% fall in real GDP. Further, a 1% rise in casualties linked to road accidents is likely to cause a 0.18% decline in GDP. Although a long-run relationship is established, there is no statistically significant influence of road accidents on GDP in the short-run.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"17 ","pages":"Pages 109-119"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140273411","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 the contributing factors of crashes on interstate bridges in Louisiana using latent class clustering and association rule mining","authors":"M. Ashifur Rahman ,&nbsp;Elisabeta Mitran ,&nbsp;Julius Codjoe ,&nbsp;Kofi K. Ampofo-Twumasi","doi":"10.1016/j.ijtst.2024.04.011","DOIUrl":"10.1016/j.ijtst.2024.04.011","url":null,"abstract":"<div><div>Drivers on long interstate bridges often encounter unique challenges, including restricted lane widths, inadequate shoulders, and a lack of clear zones for safe recovery. Studies on understanding the factors that contribute to crash severity on such high-risk sections of interstates are limited. This research study applies latent class clustering (LCC) to detect homogeneous clusters while accounting for unobserved heterogeneity in a dataset of 10 036 crashes that occurred over a 6-year period (2015–2020) on eight selected bridges. Utilizing the LCC method, the research identifies four optimal clusters in bridge crashes, characterized by attributes such as ′4-lane′, ′6-lane′, ′single-vehicle crashes′, and ′unknown driver′. The association rule mining (ARM) approach is used to identify the important collective factors to visible injury (KAB – fatal, severe, and moderate) and property damage only (PDO or no injury). In Cluster 1 (4-lane), KAB and PDO crashes differ in collision type and visibility conditions, with rear-end crashes linked to KAB and sideswipe crashes to PDO. Cluster 2 (6-lane) shows similar distinctions but lacks specific lighting associations for PDO. In Cluster 3 (single-vehicle crashes), KAB involves moderate traffic and low visibility, while PDO has lower speed limits and non-dry surfaces. Cluster 4 (unknown driver), despite overrepresenting hit-and-run cases, underscores challenges in injury crash data collection in high-volume mobility scenarios. The discussions of the findings on the severity factors in this study are expected to help traffic safety engineers, policymakers, and planners to identify effective safety countermeasures on major elevated sections.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"17 ","pages":"Pages 293-311"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141040553","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":"How to detect occluded crosswalks in overview images? Comparing three methods in a heavily occluded area","authors":"Yuanyuan Zhang ,&nbsp;Joseph Luttrell IV ,&nbsp;Chaoyang Zhang","doi":"10.1016/j.ijtst.2024.04.001","DOIUrl":"10.1016/j.ijtst.2024.04.001","url":null,"abstract":"<div><div>Crosswalk presence data are crucial for pedestrian safety and urban planning. However, obtaining such data at a large scale is often challenging due to the high cost associated with traditional collection methods. While automated methods based on computer vision have been explored to detect crosswalks from aerial images, a major obstacle to their application is the handling of candidate crosswalks occluded by objects or shadows in the aerial imagery. To address this challenge, this study explores different deep learning-based solutions, including the aerial-view method (AVM) and street-view method (SVM), which are commonly used, and a combination of them, i.e., the dual-perspective method (DPM). Deep learning models based on convolutional neural networks (CNNs) with the VGG16 architecture were trained using 16 815 images to automatically detect crosswalks from both aerial and street view images. To compare the performance of these methods in handling occlusions, 1 378 images from a heavily occluded area were processed separately by the three methods. The results showed that the AVM suffered the most when dealing with images from a heavily occluded area, resulting in the lowest accuracy, precision, recall, and F1 score among the three methods. On the other hand, the SVM outperformed the AVM significantly. The DPM demonstrated the highest accuracy and precision values, indicating its superiority in accurately predicting the location of a crosswalk. However, the SVM exhibited the highest recall value, highlighting its superior ability to recover an occluded crosswalk among all methods.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"17 ","pages":"Pages 148-160"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140793411","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":"Optimizing roads for sustainability: Inverted pavement design with life cycle cost analysis and carbon footprint estimation","authors":"Uppuluri Siva Rama Krishna ,&nbsp;Mohan Badiger ,&nbsp;Yatin Chaudhary ,&nbsp;Turumella Vijaya Gowri ,&nbsp;Esamsetti Jahnavi Devi","doi":"10.1016/j.ijtst.2024.04.008","DOIUrl":"10.1016/j.ijtst.2024.04.008","url":null,"abstract":"<div><div>Inverted pavements have proven performance across the world, and there is a need to optimize the layer thickness and material properties of the pavement addressing the critical failures in the mechanistic-empirical pavement design. The present study is made on bituminous concrete (BC) pavement with traffic up to 50 samples per second (MSA) and studying the critical factors affecting the pavement performance. The Minitab’s response surface methodology (RSM) − box behnken method, was used for the design of experiments which includes critical factors and responses obtained from ANSYS finite element modeling of the inverted pavement. The critical factors and responses are normally distributed and indicate a linear relationship with the least error. The composite desirability for minimum stress and strains in the pavement layers was found to be 0.89. The optimized pavement thickness and layer material properties were validated with two pavement field cross sections of different Indian national highways, and it is observed that the optimized cross-section is safe. Further, this research paper carried out life cycle cost analysis (LCCA) and life cycle assessment (LCA) of inverted pavement with optimized pavement cross-section obtained including the carbon footprint during the vehicle operation phase. The study demonstrated the benefits of inverted pavement with reduced costs and carbon emissions. Thus, this approach paves the way towards sustainable and long-lasting pavements.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"17 ","pages":"Pages 251-275"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140795730","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":"Performance evaluation of Bailey method used in asphalt mixtures containing natural river sands","authors":"Mohammad Ahmad Alsheyab ,&nbsp;Ahmed O. Al-sugaier ,&nbsp;Md Lutfor Rahman ,&nbsp;Hossein Emami Ahari","doi":"10.1016/j.ijtst.2023.10.009","DOIUrl":"10.1016/j.ijtst.2023.10.009","url":null,"abstract":"<div><div>This study aims to investigate the efficiency of the Bailey method when natural sand is included in the mix at two coarseness levels of aggregate gradations: fine-graded (FG) and coarse-graided (CG), and three mixes with varing percentages of the natural river sand were prepared at each coarseness level, namely: CG with quarry sand only (CG-QS), CG with natural sands only (CG-NS), CG with quarry and natural sands (CG-QNS), FG with quarry sand only (FG-QS), FG with natural sands only (FG-NS), and FG with quarry and natural sands (CG-QNS). The portions of the natural sand either in CG-QNS and FG-QNS mixes were minimized as possible without violating the Bailey ratios. Four performance tests were utilized to evaluate the mixes including indirect tensile tension test (IDEAL-CT), disk‐shaped compact tension test (DCT), flow number (<em>FN</em>) test, and tensile strength ratio (<em>TSR</em>) test. The sensitivity and the significance of the volumetric measures were investigated including voids of total mix (<em>VTM</em>), voids of mineral aggregate (<em>VMA</em>), dust proportion (<em>DP</em>), voids filled with asphalt (<em>VFA</em>), air voids volume (<em>V</em>_a), and effective binder volume (<em>V</em>_be), and a number of non-linear statistical models were developed. The results of IDEAL-CT, DCT, and <em>FN</em> test were consistent where CG-QNS had the best performance, followed by CG-QS, CG-NS, FG-QS, FG-QNS, and lastly FG-NS. <em>TSR</em> value was always decreasing with the increase in the percentage of the natural river. <em>V</em>_be was the most significant volumetric measure followed and was used to predict the performance test indices.<!--> <em>FN</em> test had the highest coefficient of determination (<em>R</em>²) when modeled with any of the other performance tests, while <em>TSR</em> test had the lowest. The Bailey gradation method was successfully proficient to provide a similar gradation coarseness for CG-QNS when compared to CG-QS which indicates a similar aggregate interlock.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 50-67"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136093594","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":"Effective lane width for cars considering lateral oscillation characteristics based on high-precision field data","authors":"Jianbei Liu ,&nbsp;Zhongyin Guo ,&nbsp;Donghui Shan ,&nbsp;Xianyong Liu","doi":"10.1016/j.ijtst.2023.10.007","DOIUrl":"10.1016/j.ijtst.2023.10.007","url":null,"abstract":"<div><div>The cross-sectional width of highways is a major factor that affects the construction cost of engineering projects. With the increasing demand for intensive highway construction, research on dedicated lanes or roadway for cars has attracted research attention. The lateral oscillation value of vehicle’s trajectory is the direct factor that affects the lane width; however, relevant research is relatively limited, and the characteristics are not yet clear. Therefore, this study utilized an integrated radar shorter video system (IRVS) to collect real high-precision trajectory data, obtaining 24 697 datasets. Statistical methods were used to reveal the lateral oscillation value and determine the effective lane width of cars for safe driving. The research results are as follows. 1. The lateral oscillation value of cars varies across different lanes. Vehicles on the inner two lanes tend to drift leftward, whereas those on the outermost lane tend to drift rightward. 2. When the operating speed ranges from 80 km/h to 110 km/h, the lateral oscillation value presents a statistical rule, which obeys a normal distribution for the left and right margins, i.e., <em>D</em>_left ∼ <em>N</em> (0.87, 0.15) and <em>D</em>_right ∼ <em>N</em> (0.72, 0.15). This lateral oscillation value is insensitive to fluctuations in the operating speed (80 km/h ∼ 110 km/h) from the standpoint of field data. 3. The fitted expressions of effective lane width for cars were proposed, and the effective lane width at the 95th, 90th, and 85th percentile is 3.2 m, 3.0 m, and 2.8 m, respectively. These results can provide technical support for dedicated lane width for cars, and have practical significance for the intensive construction of road infrastructure in highly urbanized areas.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 18-33"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136093869","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":"Analysis of traffic conflicts with right-turning vehicles at unsignalized intersections in suburban areas","authors":"Abbas Sheykhfard ,&nbsp;Farshidreza Haghighi ,&nbsp;Sarah Bakhtiari ,&nbsp;Sara Moridpour ,&nbsp;Kun Xie ,&nbsp;Grigorios Fountas","doi":"10.1016/j.ijtst.2023.10.008","DOIUrl":"10.1016/j.ijtst.2023.10.008","url":null,"abstract":"<div><div>Right-turn collisions at intersections are one of the most dominant crash types in suburban areas, especially at unsignalized intersections. There is, however, a lack of comprehensive research on the speed patterns of vehicles during right-turn manoeuvres and their impacts on crashes. To provide an in-depth investigation of the factors determining the safety of right-turn manoeuvres, driving behavior data were collected through an instrumented vehicle study. Using this data, binary logistic regression models were developed to identify the factors affecting the probability of vehicle-vehicle (V-V) and vehicle-pedestrian (V-P) conflicts at six suburban intersections in Babol, Iran, during right-turn stage manoeuvres. In total, 1 456 V-V and V-P conflicts were identified from the data analysis. The results from the logistic regression model showed that the vehicle speed, the distance between road users, as well as driver and pedestrian distractions were associated with a higher risk for V-V or V-P conflicts. To estimate the safe right-turn speeds to be selected by drivers at different stages of the right turn, i.e., at the start, during, and end of the movement, linear regression models were developed. The results showed that participants adjust their driving behaviors the same way toward pedestrians as they do toward vehicles. The findings of this study can be leveraged for the development of a robust advanced driving assistance system, the use of which can further improve the safety performance of right-turn manoeuvres.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 34-49"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136159860","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":"Characteristics and identification of risky driving behaviors in expressway tunnels based on behavior spectrum","authors":"Li Wan ,&nbsp;Ying Yan ,&nbsp;Chang'an Zhang ,&nbsp;Changcheng Liu ,&nbsp;Tianyi Mao ,&nbsp;Wenxuan Wang","doi":"10.1016/j.ijtst.2023.10.006","DOIUrl":"10.1016/j.ijtst.2023.10.006","url":null,"abstract":"<div><div>Expressway tunnels are semi-enclosed structures characterized by monotonous alignment transitions and unique lighting environments, which can easily lead to drivers developing constrained and irritable psychology. This may result in risky behaviors, e.g., speeding and fatigued driving. Previous research on tunnel driving behaviors mainly focuses on visual factors, neglecting the impacts of nonstationary time-series combined parameters on risky driving. Firstly, 30 drivers were recruited to carry out the real test. Then, based on the evolution of time series, drawing inspiration from the concept of lineage in biology, and considering multiple driving performance indicators, driving behavior chains and the feature spectrum were constructed. The characteristics of the behavior spectrum were divided into six groups: electroencephalogram, heart rate, eye movement, speed, steering, and car-following behaviors. Subsequently, the spectral analysis using the spectral radius property of matrix theory revealed the distinctive characteristics of risky driving behaviors. The study deeply explored the inducing mechanism, hidden patterns, and rules of risky driving behaviors under the coupling effect of tunnel environment and drivers’ attributes. Finally, the significant features that influence driving behaviors were used as the input variables for constructing identification models using the adaptive boosting (AdaBoost) and random forest (RF) algorithms. The synthetic minority over-sampling technique (SMOTE) and adaptive synthetic sampling (ADASYN) were employed for oversampling. The results indicate that the ADASYN-RF algorithm outperformed others, achieving a precise recall rate area under the curve (AUPRC) of 0.978 when using the spectral radius of the speed and steering groups as input variables. These findings offer theoretical guidance for developing tunnel traffic safety strategies.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 5-17"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009596","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":"Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery","authors":"Tong Liu,&nbsp;Hadi Meidani","doi":"10.1016/j.ijtst.2024.02.002","DOIUrl":"10.1016/j.ijtst.2024.02.002","url":null,"abstract":"<div><div>Recent advances in connected vehicles have the potential to revolutionize the efficiency and sustainability of transportation. In particular, truck platooning has emerged as a promising solution for improving freight delivery operations. However, the generalization of truck platoon modeling and the economic implications of truck platoons require further investigation. In this paper, we proposed a data-driven neural network surrogate model to predict the drag force of the truck platoon system. The proposed surrogate model can be generalized to truck platoons of various configurations and allows for the evaluation of fuel consumption reduction of truck platoons. Through a case study on a 100-mile corridor on Illinois I-57 Highway, we demonstrate the substantial fuel savings of up to 10% by truck platooning. Additionally, we conduct a cost-benefit analysis for implementing connected freight delivery systems and highlight the potential for significant reductions in delivery costs per parcel, up to 26%. These findings contribute valuable insights into optimizing truck platooning configurations, showcasing the potential benefits of connected freight operations, and improving environmental sustainability.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 234-243"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139891356","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}