International Journal of Transportation Science and Technology最新文献

{"title":"The future of AI in transportation: challenges and opportunities?","authors":"Wei (David) Fan, Zhongyin Guo, Yanli Wang, Yanna Sun","doi":"10.1016/j.ijtst.2024.09.005","DOIUrl":"10.1016/j.ijtst.2024.09.005","url":null,"abstract":"","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 1-4"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143284328","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":"Injury severity of drowsy drivers involved in single vehicle crashes: Accounting for temporal instability and unobserved heterogeneity","authors":"Nabeel Saleem Saad Al-Bdairi ,&nbsp;Hamsa Zubaidi ,&nbsp;Ihsan Obaid","doi":"10.1016/j.ijtst.2023.10.011","DOIUrl":"10.1016/j.ijtst.2023.10.011","url":null,"abstract":"<div><div>Drowsy driving has received comparatively less attention in traffic safety literature when compared to other safety issues, despite its devastating impact on society in terms of human life lost and associated economic burdens. Therefore, this significant safety threat requires a thorough investigation. To address the temporal instability of factors contributing to crashes involving drowsy drivers, this paper divides the crash data into four time periods while capturing unobserved heterogeneity in the means and variances of random parameters. To explore the determinants affecting the severity of injuries sustained by drowsy drivers involved in single-vehicle crashes, injury outcomes are categorized into three groups: serious, moderate, and no injuries. Using four years of crash data from the state of Washington between 2013 and 2016, a wide range of factors were examined, including driver characteristics, roadway conditions, crash characteristics, vehicle conditions, lighting conditions, and temporal factors. The estimation results reveal that there is temporal instability in terms of the effect of determinants on injury severity across the years. However, some factors exhibit stable effects, such as female drivers, sober drivers, and non-hit-and-run crashes. Based on the findings of this study, decision-makers, traffic engineers, and traffic authorities can gain valuable knowledge and insights into the factors contributing to drowsy-related crashes, enabling them to make informed recommendations for safety countermeasures.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 87-99"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135515105","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":"Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan","authors":"Roxan Saleh ,&nbsp;Hasan Fleyeh","doi":"10.1016/j.ijtst.2024.02.008","DOIUrl":"10.1016/j.ijtst.2024.02.008","url":null,"abstract":"<div><div>This study addresses the critical safety issue of declining retroreflectivity values of road traffic signs, which can lead to unsafe driving conditions, especially at night. The paper aims to predict the retroreflectivity coefficient values of these signs and to classify their status as acceptable or rejected (in need of replacement) using machine learning models. Moreover, logistic regression and survival analysis are used to predict the median lifespans of road traffic signs across various geographical locations, focusing on signs in Croatia and Sweden as case studies. The results indicate high accuracy in the predictive models, with classification accuracy at 94% and an <em>R</em>² value of 94% for regression analysis. A significant finding is that a considerable number of signs maintain acceptable retroreflectivity levels within their warranty period, suggesting the feasibility of extending maintenance checks and warranty periods to 15 years which is longer than the current standard of 10 years. Additionally, the study reveals notable variations in the median lifespans of signs based on color and location. Blue signs in Croatia and Sweden exhibit the longest median lifespans (28 to 35 years), whereas white signs in Sweden and red signs in Croatia show the shortest (16 and 10 years, respectively). The high accuracy of logistic regression models (72–90%) for lifespan prediction confirms the effectiveness of this approach. These findings provide valuable insights for road authorities regarding the maintenance and management of road traffic signs, enhancing road safety standards.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 276-291"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139820618","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":"Temporal assessment of emission inventory model for Indian heavy commercial vehicle segment: A top-down approach","authors":"Vikrant Bhalerao ,&nbsp;Kirtesh Gadiya ,&nbsp;Gopal Patil ,&nbsp;Prakash Rao","doi":"10.1016/j.ijtst.2024.01.005","DOIUrl":"10.1016/j.ijtst.2024.01.005","url":null,"abstract":"<div><div>Heavy commercial vehicles (HCVs) are pivotal to India's economy, but are also significant sources of air pollution. To address this issue, the Indian government implemented Bharat stage VI (BS-VI) emission standards in 2020. Research gap regarding realistic inputs for annual vehicle kilometres and survival rate of HCVs has been identified. The HCV sector is categorized into long-haul vehicles (32 t and above, with higher annual vehicle usage and survival rates) and pick-up and delivery HCV trucks (16–32 t, with relatively lower annual vehicle usage and survival rates). Based on the primary research by taking into account the inputs from various stakeholders regarding annual vehicle kilometres and survival rates subject to vehicle type and emission standards, an HCV emission inventory for India has been developed for regulated pollutants (NO_<em>x</em>, PM_2.5, and CO) till 2035. We assume no additional external technological or policy interventions, except the anticipated shift to Bharat stage VII (BS-VII) standards by 2027. Key findings reveal that the on-road HCV population is projected to marginally increase (6.5%) by 2035 compared to 2020. However, there is a notable 97% surge in goods transport tonnage by 2035, indicating more efficient commercial vehicle usage, especially in the heavier category (32 t and above). Crucially, annual emissions of NO_<em>x</em>, PM_2.5, and CO from the HCV segment are expected to peak in 2020, and decline significantly by 2035. Emissions are projected to decrease by 91.5% (NO_<em>x</em>), 96.6% (PM_2.5), and 97.6% (CO) compared to 2020 levels due to the introduction of BS-VI standards in 2020 and the anticipated adoption of BS-VII standards in 2027. This study is instrumental in defining base emission inventory till 2035 for any further policy evaluation for the HCV segment for reducing air pollution and enhancing environmental sustainability.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 150-164"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140518816","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":"Train rescheduling and platforming in large high-speed railway stations","authors":"Jing Teng ,&nbsp;Jinke Gao ,&nbsp;Pengling Wang ,&nbsp;Siyuan Qu","doi":"10.1016/j.ijtst.2023.11.001","DOIUrl":"10.1016/j.ijtst.2023.11.001","url":null,"abstract":"<div><div>To deal with train delays in large high-speed railway stations, a multi-objective mixed-integer nonlinear programming (MO-MINLP) optimization model was proposed. The model used the arrival time, departure time, track occupation, and route selection as the decision variables, and fully considered the station infrastructure layout, train operational requirements, and time standards as limiting factors. The optimization objectives were to minimize train delays and reduce track and to route adjustments. To realize the large-scale and rapid solution of the MO-MINLP model, this study proposed a rolling horizon optimization algorithm that used half an hour as a time interval and solved the rescheduling and platforming problem of each time interval step-by-step. In numerical experiments, 227 train movements under delay circumstances in Hangzhoudong station were optimized by using the proposed model and solution algorithm. The results show that the proposed MO-MINLP model could resolve route conflicts, compress unnecessary dwell times, and reduce train delays, and the solution algorithm could efficiently increase the computational speed. The maximum solution time for optimizing the 227 train movements is 15 min 24 s.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 100-118"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135515660","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":"Data-driven statewide prioritization of corridors for signal retiming projects","authors":"Nemanja Dobrota ,&nbsp;Burak Cesme ,&nbsp;Charlie Fisher ,&nbsp;Patrick Mead ,&nbsp;Milad Tahmasebi ,&nbsp;Akhilesh Shastri","doi":"10.1016/j.ijtst.2024.02.005","DOIUrl":"10.1016/j.ijtst.2024.02.005","url":null,"abstract":"<div><div>While emerging technologies has substantially improved the way traffic signals operated, most agencies still rely on the traditional approach of retiming, which is typically initiated by “trigger” events (e.g., signal retiming occurs due to citizen calls, a major change in land use or roadway geometry, sustained oversaturation, and safety concerns). The approach of using triggers can work effectively for small agencies, however, such an approach may not be sustainable for agencies that operate a high number of corridors. Additionally, agencies are often limited in terms of their budget to retime signals. Therefore, strategic selection of corridors is important to effectively utilize existing resources. Recently data-driven methods for prioritization of corridors for retiming were proposed. However, these methods either rely on datasets that are not widely available or only account for corridor performance (e.g., speed) without considering other relevant factors that can be important during prioritization. Further, most prior attempts estimated corridor performance based on the simple average performance of individual intersections. Such an approach may distort the results for corridors with largely dispersed intersection performance. To overcome these challenges, this study proposes a novel ranking approach based on data that is available to most agencies and incorporates normalized corridor delay, corridor travel time reliability, annual average daily traffic, and time since the last retiming. The proposed method was applied to 120 corridors (consisting of 756 signals) across the State of Ohio in the US. It was found that ranking results are highly aligned with agency representatives’ expectations, as most of the highly ranked corridors have already been identified by agency representatives for future retiming projects. Moreover, the before-and-after analysis from recent retiming studies on highly ranked corridors revealed substantial benefits, confirming the effectiveness of the proposed ranking method. The proposed ranking and prioritization method discussed in this paper could be beneficial for agencies with a large number of corridors and limited budget and resources so that they can effectively prioritize their corridors for future signal retiming projects.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"16 ","pages":"Pages 260-275"},"PeriodicalIF":4.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467534","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":"A large-scale analytical residential parcel delivery model evaluating greenhouse gas emissions, COVID-19 impact, and cargo bikes","authors":"","doi":"10.1016/j.ijtst.2023.08.002","DOIUrl":"10.1016/j.ijtst.2023.08.002","url":null,"abstract":"<div><div>The e-commerce industry has experienced significant growth in the past decade, particularly post-COVID. To accommodate such growth, the parcel delivery sector has also grown rapidly. However, there is a lack of study that properly evaluates its social and environmental impacts at a large scale. A model is proposed to analyze such impacts. A parcel generation process is presented to convert public data into parcel volumes and stops. A continuous approximation model is fitted to estimate the length of parcel service tours. A case study is conducted using New York City (NYC) data. The parcel generation is shown to be a valid fit. The continuous approximation model parameters have <em>R</em>² values of 98% or higher. The model output is validated against<!--> <!-->UPS truck trips. Application of the model to<!--> <!-->2021 suggests<!--> <!-->residential parcel deliveries contributed to 0.05% of total daily vehicle-kilometer-traveled (VKT) in NYC<!--> <!-->corresponding<!--> <!-->to 14.4 metric tons of carbon equivalent (MTCE) emissions per day. COVID-19 contributed to an increase in parcel deliveries that led to up to 1 064.3 MTCE of annual greenhouse gas (GHG) emissions in NYC (which could power 532 standard US households for a<!--> <!-->year). The existing bike lane infrastructure can support the substitution of 17% of parcel deliveries by cargo bikes, which would reduce VKT by 11%. Adding 3 km of bike lanes to connect Amazon facilities can expand their cargo bike substitution benefit from a VKT reduction of 5% up to 30%. If 28 km of additional bike lanes are made, parcel delivery substitution citywide could increase from 17% to 34% via cargo bike and save an additional 2.3 MTCE per day. Cargo bike priorities can be set to reduce GHG emissions for lower-income neighborhoods including Harlem, Sunset Park, and Bushwick.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"15 ","pages":"Pages 136-154"},"PeriodicalIF":4.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45905188","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":"Risk analysis of bridge maintenance accidents: A two-stage LEC method and Bayesian network approach","authors":"","doi":"10.1016/j.ijtst.2023.07.002","DOIUrl":"10.1016/j.ijtst.2023.07.002","url":null,"abstract":"<div><div>Bridge maintenance is a long-term process that is prone to accidents. Identifying and reducing hidden dangers is crucial in decreasing the occurrence of such accidents. This study proposes a two-stage risk evaluation model based on the likelihood exposure consequence (LEC) method, which includes an occurrence stage and a development stage. The model utilizes hidden danger data accumulated over a long period to reflect the current maintenance stage's risk level. Additionally, a risk prediction model based on the Bayesian network is established to better identify hidden dangers that have a significant impact on construction risk levels (CRLs). The models are validated using 50 weeks of hidden danger data obtained from a real-world bridge maintenance project. The results show that certain hidden dangers have high risk levels when the CRL is high, and small changes in the risk level of certain hidden dangers can have a significant impact on the CRL. This study's models can aid in the development of more targeted HD prevention measures.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"15 ","pages":"Pages 51-64"},"PeriodicalIF":4.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44619645","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":"Mining motif periodic frequent travel patterns of individual metro passengers considering uncertain disturbances","authors":"","doi":"10.1016/j.ijtst.2023.07.005","DOIUrl":"10.1016/j.ijtst.2023.07.005","url":null,"abstract":"<div><div>Periodic pattern mining is of great significance for understanding passenger travel behavior, but the previous works mainly focused on the trajectory data and the dimension of the spot/point. Besides, many uncertain factors (severe weather, traffic accident, etc.) may interfere with discovering original and accurate periodic travel patterns. This paper proposes a novel type of travel pattern called motif periodic frequent pattern (MPFP), which captures the periodicity of network temporal motifs of individual metro passengers with higher-order spatio-temporal characteristics, considering, uncertain disturbances. We also propose a new complete mining algorithm MPFP-growth to extract MPFP from smart card data (SCD), and apply the real long-time-span experimental data from a large-scale metro system is applied. Results show that frequent-travel metro passengers usually have some typical MPFPs with the temporal periodic characteristic of “week”. Only the top 10 types of all 4 624 types account for about 95% of all motifs and the top 5 types constitute about 90%, and the MPFP of the top 3 types of motifs account for nearly 80% of all periodic patterns, in which Mono-MPFP and 2-MPFP are the main ones. The relatively stable time range of MPFP is three months, and the threshold for the optimal uncertain disturbance factor should be set at 5%. Additionally, several interesting typical MPFPs of individual metro commuting passengers and their proportions are introduced to further understand the multifarious variants of MPFP.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"15 ","pages":"Pages 102-121"},"PeriodicalIF":4.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49121124","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":"Evaluation of false alarm alarms in truck FCW based on calibration of RSS model under different driving scenarios","authors":"","doi":"10.1016/j.ijtst.2023.07.001","DOIUrl":"10.1016/j.ijtst.2023.07.001","url":null,"abstract":"<div><div>Advanced driver-assistance systems (ADASs), such as forward collision warning (FCW), are widely used and, in some countries, have been made mandatory for commercial vehicles. In practical applications, however, FCW systems produce many false alarms. Using scenario and driving behavior data collected from naturalistic driving study data of trucks, a variable threshold evaluation method was proposed to determine the factors correlating with false alarms. A total of 450 collision avoidance events were divided based on driving characteristics into three groups with <em>k</em>-means clustering. Responsibility-sensitive safety (RSS) model’s parameters were calibrated with the driving behavior characteristics and scenarios to evaluate the truck FCW system’s alarm accuracy. The evaluation of the results of truck FCW system based on RSS model found 47 false alarm alarms in the 450 events, a false alarm rate of 11.19%. When the following distance was close (&lt;7 m) or far (&gt;20 m), the false alarm rate reached more than 30%. The minimum time to collision (TTC) in the close distance driving clusters (DCs) (5.81 s) was lower than that in long distance DCs (7.68 s and 9.46 s). Braking force in the low-speed DCs (deceleration at −0.16 g and −0.55 g) was lower than in high-speeded DC (deceleration = −1.21 g). The FCW system does not conform to the driver's reaction time and braking characteristics in different scenarios, and is the main reason for false alarms. This is more obviously reflected in low-speed short distance and high-speed long-distance scenarios.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"15 ","pages":"Pages 35-50"},"PeriodicalIF":4.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54865107","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}