Chengyuan Huang , Miaojia Lu , Ran Wang , Rong Zhang
{"title":"Understanding customer preferences for autonomous delivery vehicles in instant delivery: exploring the impact of delivery and personal attributes","authors":"Chengyuan Huang , Miaojia Lu , Ran Wang , Rong Zhang","doi":"10.1016/j.ijtst.2024.12.001","DOIUrl":"10.1016/j.ijtst.2024.12.001","url":null,"abstract":"<div><div>Various issues confront instant delivery, such as elevated labor expenses, low efficiency, and courier accidents. Consequently, e-commerce and logistics providers have turned their attention towards autonomous delivery vehicles (ADVs). There are no studies on customers who use instant delivery that focus on their preferences for ADVs in relation to cargo damage in conjunction with other delivery attributes such as instant delivery service use frequency and price of orders. The objective of this study is to examine customers’ preferences for ADVs in comparison to traditional courier delivery. To account for the heterogeneity of customers, this study employs the random parameter logit (RPL) model with interactions to quantify the relevance of attributes and their interaction effects. This study is the first to consider cargo damage as an alternative-specific attribute (ASA) in the context of preference studies for instant delivery modes. We also examine the interaction effects between delivery price and personal and delivery attributes, considering the significance and notable preference variations regarding delivery price across different populations. For data collection, a survey employing stated-preference (SP) approach was conducted in China, resulting in 309 effective surveys. The findings indicate that customer preference heterogeneity regarding delivery price and cargo damage both follow normal distributions. And gender, privacy, instant delivery service use frequency, and price of orders all show significant effects on customers’ preferences for ADVs. Analysis of the survey answers also revealed statistically significant positive interaction effects on delivery price associated with income and instant delivery service use frequency. This study contributes to understanding customer preferences for ADVs, thereby assisting logistics providers in identifying target customers for ADVs.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"20 ","pages":"Pages 258-269"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847640","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}
{"title":"Joint optimization of metro train timetable and stopping plan for the first service period: an integrated energy-efficient and time-saving model","authors":"Jiajia Feng , Xuan Li , Jungang Shi , Yang Shi","doi":"10.1016/j.ijtst.2024.10.006","DOIUrl":"10.1016/j.ijtst.2024.10.006","url":null,"abstract":"<div><div>This paper addresses the energy conservation challenge in metro systems during the first service period, characterized by large train headways and low passenger demands. A novel train timetabling method incorporating an express-local mode is proposed to maximize the overlap time between accelerating and braking trains, thereby facilitating the utilization of regenerative braking energy (RBE). Local and express trains depart alternately, with skip-stop strategies implemented for express trains. Considering the interests of operators and passengers for energy and travel time savings, a bi-objective model is proposed to jointly optimize train timetable and stopping plan. The non-dominated sorting genetic algorithm II (NSGA-II) is applied to solve the model and obtain Pareto optimal solutions. Numerical experiments based on Ningbo Metro Line 1 data validate the effectiveness of proposed methods, showcasing significant enhancement in RBE utilization and notable reduction in passenger travel time. The proposed express-local mode establishes stable tracking relationships within train pairs, ensuring effective RBE utilization. Comparative analyses reveal that deadheading is more effective than flexible skip-stop for energy-efficient and time-saving metro operations.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"20 ","pages":"Pages 50-67"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847658","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}
Weixi Ren , Bo Yu , Yuren Chen , Shan Bao , Kun Gao , You Kong
{"title":"Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception","authors":"Weixi Ren , Bo Yu , Yuren Chen , Shan Bao , Kun Gao , You Kong","doi":"10.1016/j.ijtst.2024.08.002","DOIUrl":"10.1016/j.ijtst.2024.08.002","url":null,"abstract":"<div><div>Speeding is one of the primary contributors to rural road crashes. Self-explaining theory offers a solution to reduce speeding, which suggests that well-designed facility environments (i.e., road facilities and surrounding landscapes) can automatically guide drivers to choose appropriate speeds on different road categories. This study proposes an improved lightweight convolutional neural network (LW-CNN) that includes drivers’ visual perception characteristics (i.e., depth perception and dynamic vision) to conduct the self-explaining analysis of the facility environment on 2-lane rural roads. Data for this study are gathered through naturalistic driving experiments on 2-lane rural roads across five Chinese provinces. A total of 3 502 visual facility environment images, alongside their corresponding operation speeds and speed limits, are collected. The improved LW-CNN exhibits high accuracy and efficiency in predicting operation speeds with these visual facility environment images, achieving a train loss of 0.05% and a validation loss of 0.15%. The semantics of facility environments affecting operation speeds are further identified by combining this LW-CNN with the gradient-weighted class activation mapping (Grad-CAM) algorithm and the semantic segmentation network. Then, six typical 2-lane rural road categories perceived by drivers with different operation speeds and speeding probability (SP) are summarized using <em>k</em>-means clustering. An objective and comprehensive analysis of each category’s semantic composition and depth features is conducted to evaluate their influence on drivers’ speeding probability and road category perception. The findings of this study can be directly used to optimize facility environments from drivers’ visual perception to decrease speeding-related crashes.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 99-113"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323651","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}
Xinchen Ye , Xuesong Wang , Xiaomeng Wang , Yanli Bao , Xiaolei Zhu
{"title":"Freeway merging trajectory prediction for automated vehicles using naturalistic driving data","authors":"Xinchen Ye , Xuesong Wang , Xiaomeng Wang , Yanli Bao , Xiaolei Zhu","doi":"10.1016/j.ijtst.2024.07.004","DOIUrl":"10.1016/j.ijtst.2024.07.004","url":null,"abstract":"<div><div>Due to the speed difference and the complex interaction between merging and through-lane vehicles at freeway merging sections, crashes involving both human drivers and automated vehicles (AVs) persist. To assist AVs to predict the intentions of surrounding vehicles for further dynamic motion planning, researchers have focused on developing trajectory prediction algorithms. Few studies, however, have developed merging trajectory prediction models using naturalistic driving data in China, making it urgent to put it on the agenda for AVs’ safety and efficiency at freeway merging sections. Based on the merging periods extracted from the Shanghai Naturalistic Driving Study (SH-NDS), this study compares merging behavior on freeways with through-lane speed limits of 80 km/h, 100 km/h, and 120 km/h using analysis of variance (ANOVA). Merging trajectory prediction algorithms for these three speed limit cases are trained and tested using backpropagation neural network (BPNN) and long short-term memory neural network (LSTMNN) approaches. Results show that: 1) there are significant differences among the three cases in all merging behavior variables except for longitudinal gap, and 2) the BPNN algorithm for merging trajectory prediction demonstrates superior performance compared to the LSTMNN. Two major contributions to the safe operation of AVs are provided: 1) the developed algorithms can be integrated into AV systems to accurately predict real-time desired trajectories of nearby merging vehicles in uncongested traffic conditions, and assist ongoing motion planning strategies for AVs; 2) the algorithms can be incorporated in simulation tests for AV safety evaluation involving freeway merging sections.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 1-16"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846828","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}
Hui Li , Yang Sun , Fei Shan , Bing Yang , Ming Jin
{"title":"Investigation and optimization of short-term aging test conditions for asphalt binders","authors":"Hui Li , Yang Sun , Fei Shan , Bing Yang , Ming Jin","doi":"10.1016/j.ijtst.2024.08.003","DOIUrl":"10.1016/j.ijtst.2024.08.003","url":null,"abstract":"<div><div>The existing short-term aging test methods have disadvantages such as not being suitable for high viscosity modified asphalt, independent aging degree, and poor testing convenience. Therefore, this paper investigated and optimized the aging test conditions of asphalt. The macroscopic rheology and microchemistry of aged asphalt prepared by different aging conditions were comprehensively evaluated. Finally, the most suitable aging test conditions for asphalt were determined by referring to the aging degree of loose asphalt mixture. The experiment results showed that after aging, the rutting factor, carbonyl index, asphaltene content, and creep stiffness of asphalt would increase. The aging degrees of existing asphalt aging methods, i.e., rolling thin film oven test (RTFOT) and thin film oven test (TFOT), and the corresponding loose asphalt mixtures were quite different, and the difference percentage could reach 86.6%. Based on the TFOT, the asphalt aging conditions were optimized. The aging temperature was 163 ℃. For 70# and SBS modified asphalt, the recommended asphalt film thickness and aging time were 1.59 mm–85 min and 0.80 mm–85 min, respectively. The aging degree of high viscosity modified asphalt under the condition of 0.80 mm–85 min was close to the aging degree of loose asphalt mixture at 135 ℃, and the aging degree of 0.80 mm–100 min was close to the aging degree of loose asphalt mixture at 165 ℃. The proposed aging test conditions can not only accurately simulate the short-term aging behavior of asphalt, but also shorten aging time and save resources.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 114-127"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323643","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}
{"title":"Evaluating the potential for micromobility in South Florida through a stated preference survey","authors":"Daniel Frolich, Md Al Adib Sarker, Xia Jin","doi":"10.1016/j.ijtst.2024.07.010","DOIUrl":"10.1016/j.ijtst.2024.07.010","url":null,"abstract":"<div><div>This paper aims aimed at evaluating the potential for micromobility in South Florida. The influential factors motivating users to switch to micromobility modes are investigated, utilizing a stated preference (SP) approach. The survey collected information on respondents’ socioeconomic and demographic characteristics, current modes of transportation, and mobility attitudes. Additionally, trip attributes for a recent journey were gathered to construct the SP scenarios. Analyzing the survey data using a mixed logit (ML) model revealed significant variables that influence users’ mode choice. The findings indicate that micromobility options are more likely to be adopted by younger, well-educated, and lower-income individuals, particularly students. Positive perceptions towards micromobility modes, alternative modes, and supportive infrastructure (e.g., ample bike lanes and parking facilities) serve as key motivators for individuals considering a switch to micromobility. Conversely, individuals who prefer vehicle ownership are less inclined to choose micromobility, and perceived reliability of micromobility plays a crucial role in discouraging its adoption. Nevertheless, improving infrastructure support and service design can help counter this effect, especially in offering safe alternatives for congested areas. Moreover, those expressing concerns about environmental impacts are more inclined to consider micromobility, suggesting that emphasizing the environmental benefits could promote greater usage of micromobility services.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 45-64"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323650","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}
Shize Huang , Qunyao Tan , Qianhui Fan , Zhaoxin Zhang , Yi Zhang , Xingying Li
{"title":"Nighttime agglomerate fog event detection considering car light glare based on video","authors":"Shize Huang , Qunyao Tan , Qianhui Fan , Zhaoxin Zhang , Yi Zhang , Xingying Li","doi":"10.1016/j.ijtst.2024.08.006","DOIUrl":"10.1016/j.ijtst.2024.08.006","url":null,"abstract":"<div><div>Agglomerate fog event poses more serious threat than normal foggy weather to expressway traffic safety, due to its localized nature and suddenly uneven formation. However, vision-based fog detection methods typically estimate visibility for individual images and ignore the difference in the characteristics of even and uneven fog, lacking use of temporal information to differentiate between normal foggy weather and agglomerate fog events. Meanwhile, detection of fog at night faces strong interference from car lights that is always overlooked. This study proposes a nighttime agglomerate fog event detection (AFED) method for videos, taking into account car light interference. Depth disparity feature is constructed based on the information entropy of depth estimation result. In order to build a metric for uneven characteristics in the field of view, we creatively introduce the Moran’s index to establish uneven feature, generating two-dimensional feature time series for each video. By extracting interpretable features from the two-dimensional feature time series after removing car light interference frames, a classification model based on extreme gradient boosting (XGBoost) is built to differentiate agglomerate fog, normal fog, and no fog videos. Experiments are carried out utilizing real monitoring data from roadside surveillance cameras to validate the effectiveness of features and model. Furthermore, a fog event detection dataset containing over 1 500 videos is established, making up data scarcity for vision-based agglomerate fog event detection and providing support for future research.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 139-155"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323649","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}
Michael Cruz , Ehsan Yahyazadeh Rineh , Sergio Alberto Luna Fong , Ruey Long Cheu , Ziqi Song
{"title":"Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways","authors":"Michael Cruz , Ehsan Yahyazadeh Rineh , Sergio Alberto Luna Fong , Ruey Long Cheu , Ziqi Song","doi":"10.1016/j.ijtst.2024.11.001","DOIUrl":"10.1016/j.ijtst.2024.11.001","url":null,"abstract":"<div><div>The availability of charging stations (CSs) with adequate capacity is critical for the growth in ownership and usage of electric vehicles (EVs). In the United States, the state departments of transportation (DOTs) are responsible for planning CSs along the interstate national, and state highways. While the state DOTs have their statewide transportation planning models (STPMs), most of these models do not represent EVs internally. The state DOTs can only rely on the existing STPMs to forecast the demand for EV charging at specific CS locations in a state’s highway network. This research proposes a methodology that utilizes an existing STPM, EV and non-EV registration data, and hourly traffic volumes at strategic counting stations to predict the hourly demand for EV charging (charging port occupancy) at proposed CSs. This approach first estimates the volume of all passenger cars that will pass the vicinity of a CS along intercity highways, and identifies the traffic analysis zones (TAZs) of their trip origins. Based on the EV adoption rates of the TAZs, EV range, and EV owner’s charging behavior, the methodology forecasts the volume of EVs that pass the vicinity of a CS and the number of EVs that will stop at the CS to charge every hour of the day. An example problem demonstrated the application of the methodology in the State of Texas. It not only forecasted the hourly occupancy at CSs along three major corridors, but also demonstrated how to determine the capacities of the CSs. The challenges of using the existing STPMs and their solutions are discussed. This proposed methodology enables the state DOTs to forecast the demand for EV charging and the capacities at the proposed CSs along intercity highways, thus allowing the DOTs to apply for federal funds to accelerate the deployment of the CSs.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 282-299"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323777","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}
Lexuan Liu , Ye Li , Dominique Gruyer , Meiting Tu
{"title":"Non-linear relationship between built environment and active travel: a hybrid model considering spatial heterogeneity","authors":"Lexuan Liu , Ye Li , Dominique Gruyer , Meiting Tu","doi":"10.1016/j.ijtst.2024.08.008","DOIUrl":"10.1016/j.ijtst.2024.08.008","url":null,"abstract":"<div><div>Exploring the mechanisms between the built environment and active travel is crucial for promoting green transportation and fostering the sustainable development of cities. Existing literature focuses on the correlation between the built environment and active travel in urban centers, with limited studies on suburban environments, ignoring the implications of spatial heterogeneity. This study conducts a comprehensive spatio-temporal analysis of the active travel behavior of suburban residents, and investigates the nonlinear relationship between the suburban built environment and active travel. A novel hybrid modeling framework that combines extreme gradient boosting (XGBoost) and multi-scale geographic weighted regression (MGWR) is introduced to forecast suburban active travel demand with the consideration of the nonlinearity and spatial heterogeneity in parameter estimates. Shapley additive explanation (SHAP) is used to elucidate the non-linear relationship between built environment variables and active travel. The results indicate that the proposed hybrid model performs the best with high predictive power and interpretability. The density of tourist attractions, transportation facilities, and household properties emerge as the three most influential factors affecting residents’ active travel behavior. Social-economic attributes contribute 15.70% to the prediction, while three categories of built environment variables (accessibility, transportation facilities, and land use) contribute 7.31%, 5.13%, and 71.87%, respectively. The hybrid model appears to be effective in identifying the nonlinear relationship and threshold effects between built environment variables and active travel. Besides, the model provides actionable insights into designing sustainable and efficient suburban environments, supporting targeted planning and policy-making efforts.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 175-192"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323787","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}
Arman Ali Mohammadi , Zhiyong Wang , Hualiang Teng
{"title":"Mechanical and metallurgical assessment of a submerged arc welded surfaced rail","authors":"Arman Ali Mohammadi , Zhiyong Wang , Hualiang Teng","doi":"10.1016/j.ijtst.2024.09.003","DOIUrl":"10.1016/j.ijtst.2024.09.003","url":null,"abstract":"<div><div>Rail surfaces are often damaged under constant loading, making repair of these areas essential for optimal performance in a railroad network. However, the traditional methods of improving rails are expensive and time-consuming, and require excessive effort. Therefore, some creative ideas would be helpful in this process, one of which may be on-site overlay arc welding instead of exchanging the whole part of the rail. In this paper, the performance of such a method is assessed experimentally, and its results are interpreted. For the investigation, a worn part of the 136RE rail, used in the freight railway network in the U.S., was chosen. After milling and flattening the surface of the rail, a submerged arc welding (SAW) process was used to rebuild this rail by utilizing a 1/8-in Lincore 40-S depositing wire. This study used four destructive tests: 1) XRD residual stress measurement, 2) SEM/OM analysis, 3) hardness test, and 4) tensile test. The results showed that the required mechanical strength could be achieved. However, the repaired area seems more vulnerable to the forces encountered on a railroad network due to the more brittle structure due to high temperatures in this region. Considering this flaw is critical because forces are primarily dynamic in railway networks, especially in heavy rails, which are higher due to the extensive use of freight trains.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"19 ","pages":"Pages 211-222"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323783","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}