Journal of Traffic and Transportation Engineering-English Edition最新文献

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Public transport inclusion and active aging: A systematic review on elderly mobility 公共交通包容性与老有所事:关于老年人出行的系统回顾
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2024.04.001
Na Zhang , Qi Yang
{"title":"Public transport inclusion and active aging: A systematic review on elderly mobility","authors":"Na Zhang ,&nbsp;Qi Yang","doi":"10.1016/j.jtte.2024.04.001","DOIUrl":"10.1016/j.jtte.2024.04.001","url":null,"abstract":"<div><p>Global aging has brought attention to addressing the elderly mobility dilemma, and a commitment to address inclusive transport in aging. Transport inclusion for older adults aims at establishing an age-friendly transport system. As a direct policy goal and promoting active aging as an indirect social goal, to help older populations gain access to transport and social opportunities. Based on the analysis of scientific knowledge mapping over the past 30 years, this study visualizes the hotspots and trends in elderly mobility research. Through a qualitative analysis of 138 papers, this paper reviews the theoretical foundations for transport inclusion and three themes of elderly mobility research, proposes a framework for public transport (PT) inclusion research as well as future research directions. The study suggests that transport inclusion can help enhance elderly health, social participation, and subjective well-being. It can improve their travel opportunities for active aging in four ways: opportunity accessibility, physical accessibility, age-friendly informationalization, and cost affordability. Future research should pay attention to examining the mechanism of perceived transport inclusion on active aging, expanding the multilevel research space of the capability approach (CA), and exploring the subjective-objective integrated research model for PT inclusion. This research contributes to the overall knowledge of the theoretical and empirical researches on PT inclusion for the elderly and promotes the integrated application of interdisciplinary knowledge in the field.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 312-347"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209575642400031X/pdfft?md5=a7be1bedf274b8e381545a3778a52228&pid=1-s2.0-S209575642400031X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140755505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evidence-based practices in sustainable travel behavior intervention: A knowledge graph-based systematic review 可持续出行行为干预的循证实践:基于知识图谱的系统回顾
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2023.10.001
Jian Li, Chenjie Xu
{"title":"Evidence-based practices in sustainable travel behavior intervention: A knowledge graph-based systematic review","authors":"Jian Li,&nbsp;Chenjie Xu","doi":"10.1016/j.jtte.2023.10.001","DOIUrl":"10.1016/j.jtte.2023.10.001","url":null,"abstract":"<div><p>Sustainable travel behavior intervention is an essential strategy to promote the development of urban transportation. The interventions offer personalized strategies based on certain scenario and participants to promote its effectiveness over hard travel restrictions. However, personalized strategies may also bring about difficulties to identify the actual effect of the measures. Furthermore, based on current practice, to make full use of travel behavior interventions, it is necessary to construct a unified methodological evidence-based framework to assess the reliability and effectiveness of travel behavior intervention studies. In response to these issues, we applied evidence-based knowledge graph to the field of sustainable travel behavior interventions to help decision supporters design sustainable travel behavior interventions wisely and in turn avoid excessive use of hard travel restrictions. We introduced concept of evidence-based practice to conduct a systematic analysis concerning reliability and validity of current full volume empirical studies by dimensions of scenarios, types of interventions and targets. In addition, we took advantage of high extensivity and integrability of knowledge graph to organize evidence-based related elements. Result of the systematic analysis shows that in terms of reliability of evidence, school intervention is the best scenario, knowledge incentive is the best intervention type and promoting public transit and walking proportion are the best targets. Oppositely, the reliability of interventions in workplace, belonging to reward and threat along with aiming at changing travel patterns generally and lowering travel carbon emission need to be enhanced. From the study, various research prospects are raised to promote evidence quality in the field of travel behavior intervention implementation. As a pioneer study, our research contributes to the field of urban transportation in introducing concepts of evidence-based practice and enabling optimization and extension of our achievement via the usage of knowledge graph, enhancing reliability and objectivity in urban transportation decision-making.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 293-311"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000308/pdfft?md5=3314b98572ffa09c3ffd2ec82333c224&pid=1-s2.0-S2095756424000308-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140769073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending the decision-making process during yellow phase from human drivers to autonomous vehicles: A microsimulation study with safety considerations 将黄灯阶段的决策过程从人类驾驶员扩展到自动驾驶车辆:考虑安全因素的微观模拟研究
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2023.06.004
Efthymis Papadopoulos, Anastasia Nikolaidou, Emmanouil Lilis, Ioannis Politis, Panagiotis Papaioannou
{"title":"Extending the decision-making process during yellow phase from human drivers to autonomous vehicles: A microsimulation study with safety considerations","authors":"Efthymis Papadopoulos,&nbsp;Anastasia Nikolaidou,&nbsp;Emmanouil Lilis,&nbsp;Ioannis Politis,&nbsp;Panagiotis Papaioannou","doi":"10.1016/j.jtte.2023.06.004","DOIUrl":"10.1016/j.jtte.2023.06.004","url":null,"abstract":"<div><p>One of the main factors affecting the safety of signalised intersections is the stop/go behaviour during the yellow interval. Although previous research has exhaustively examined drivers' stop/go decision-making, the expected autonomous vehicles' (AVs') stop/go behaviour has not yet been thoroughly investigated. Through a series of simulation experiments developed for conventional and autonomous vehicles using different car-following, lane-changing, lateral placement and stop/go model parameter values, we examine here whether the default VISSIM stop/go parameter values can adequately replicate the observed drivers' behaviour at the considered intersection and assess the suitability of using the currently available options, albeit referring to human drivers, to simulate the expected stop/go behaviour of AVs. We also propose a policy framework for determining the desired behaviour of AVs in yellow interval, which is integrated into an AVs logic and achieved in the last simulation to explore the effect of automation on the stop/go outcome and, hence, on the safety level of signalised intersections. Several data analysis and modeling techniques were used for the formulation of certain scenarios, including binary choice models. The default stop/go parameter values were found unfit to replicate the observed stop/go behaviour and subjected to calibration. Compared to the currently available options, the proposed AVs logic proved to produce the most accurate results, in terms of the stop/go simulation outcome. Regarding the impact of automation on the stop/go outcome, the simulation experiments showed that AVs preferred a more conservative behaviour in favor of road safety, as indicated by the significant reduction (≈15%) in the number of vehicles crossing the stop line during the yellow light and zero instances of red light violation. However, compared to the conservative drivers represented by the default stop/go parameter values, AVs preferred a more rational behaviour in favor of intersection capacity without compromising road safety.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 362-379"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000242/pdfft?md5=111a42a9fba1129f123d2511bcfbe389&pid=1-s2.0-S2095756424000242-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140770719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evolution of suspension bridge structural systems, design theories, and shape-finding methods: A literature survey 悬索桥结构系统、设计理论和寻形方法的演变:文献调查
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2024.03.002
Wenming Zhang , Genmin Tian , Yupeng Chen
{"title":"Evolution of suspension bridge structural systems, design theories, and shape-finding methods: A literature survey","authors":"Wenming Zhang ,&nbsp;Genmin Tian ,&nbsp;Yupeng Chen","doi":"10.1016/j.jtte.2024.03.002","DOIUrl":"10.1016/j.jtte.2024.03.002","url":null,"abstract":"<div><p>Modern suspension bridges exhibit a trend of lighter structures, more diversified structural forms, and longer spans, the latter already exceeding two kilometers. Bridge performance under dead and live loads depends on their structural and main cable systems, while cable-supported bridges especially rely on the design analysis and construction control of the main cable. This literary survey systematically analyzes the research progress and state-of-the-art status quo in the structural systems and design theories of suspension bridges, focusing on the structural systems, main cable shape analyses, live load effect analyses, and emerging lucrative research directions. More than 100 reliable references have been surveyed. (1) Multi-span or multi-main cable schemes appeal to increasing attention, which may become a better choice in terms of structural systems in scenarios with extremely long spans and heavy loads. The cable layouts, such as spatial main cables and hybrid cable-stayed suspension systems have also become feasible approaches for enhancing structural stiffness. (2) The shape-finding analysis during the construction phase is more complex and has more essential factors than that of the completed bridge state. Refined theories combining analytical methods and finite element methods are more suitable for the shape-finding analysis of complex cable systems than any single theory of the two, especially for novel cable systems. (3) The live load effect analysis methods based on traditional deflection theory or modified/improved deflection theories still have wide applications, but the refined theory of treating hangers as discrete members is also constantly developing, which is expected to provide new ideas for more complex structural analysis under the different types of live loads and their distribution forms.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 225-244"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000291/pdfft?md5=79a5630bdbe9efb37bc8f5334c2d9948&pid=1-s2.0-S2095756424000291-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140763724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram 基于稳定图的模态自动识别方法和基准回顾与比较
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2023.05.007
Min He , Peng Liang , Jiuxian Liu , Zhiqiang Liang
{"title":"Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram","authors":"Min He ,&nbsp;Peng Liang ,&nbsp;Jiuxian Liu ,&nbsp;Zhiqiang Liang","doi":"10.1016/j.jtte.2023.05.007","DOIUrl":"10.1016/j.jtte.2023.05.007","url":null,"abstract":"<div><p>Automatic modal identification via automatically interpreting the stabilization diagram provides key technique in bridge structural health monitoring. This paper reviews the progress in the area of automatic modal identification based on interpreting the stabilization diagram. The whole identification process is divided into four steps from establishing the stabilization diagram to removing the outliers in the identification results. The criteria and algorithms used in each step in the existing studies are carefully summarized and classified. Comparisons between typical methods in cleaning and interpreting the stabilization diagram are also conducted. Real structure benchmarks used in the existing studies to validate the proposed automatic modal identification methods are also summarized. Based on the review and comparison, the specific ratio method for cleaning the stabilization diagram, the hierarchical clustering method for interpreting the stabilization diagram and the adjusted boxplot for removing the outliers in the identification results are the most suitable methods for each step. The key point of automatic modal identification based on interpreting the stabilization diagram has also discussed, and it is recommended to pay more attention to cleaning the stabilization diagram. Future study about automatic modal identification under situation with very few sensors deployed should be more concerned. This review aims to help researchers and practitioners in implementing existing automatic modal identification algorithms effectively and developing more suitable and practical methods for civil engineering structures in the future.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 209-224"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000266/pdfft?md5=2660fd15d261436c48ac695da8ece780&pid=1-s2.0-S2095756424000266-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140781065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monitoring and detection of steel bridge diseases: A review 钢桥病害的监测和检测:综述
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2024.03.001
Chuang Cui , Qinghua Zhang , Dengke Zhang , Wulve Lao , Lemou Wu , Zhenxiong Jiang
{"title":"Monitoring and detection of steel bridge diseases: A review","authors":"Chuang Cui ,&nbsp;Qinghua Zhang ,&nbsp;Dengke Zhang ,&nbsp;Wulve Lao ,&nbsp;Lemou Wu ,&nbsp;Zhenxiong Jiang","doi":"10.1016/j.jtte.2024.03.001","DOIUrl":"10.1016/j.jtte.2024.03.001","url":null,"abstract":"<div><p>Fatigue, corrosion, and bolt loosening are the main causes of structural performance degradation and collapse in steel bridges. Accurate monitoring of steel bridge diseases is a basic premise for ensuring high-quality operation and maintenance of steel bridges. In this regard, a summary and analysis were conducted on the classification of steel bridge diseases, monitoring and detection methods, application statuses, and major difficulties. The main causes, research status, and development trends of steel bridge diseases are discussed. The results showed that, for fatigue crack problems, fatigue crack initiation has a small scale, high difficulty in monitoring and detection, few methods, and low accuracy. As the cracks grow, the difficulty of monitoring and detection decreases, the number of methods increases, and the accuracy improves. Fatigue crack monitoring and detection are affected by the environmental and vehicular loads. Superficial corrosion features are evident in steel bridges, and corrosion identification methods and technologies are rapidly developing. Monitoring and detecting corrosion in concealed areas is difficult and requires further improvements in monitoring and detection technologies and their accuracy. Monitoring and detection methods and supporting equipment for bolt loosening in steel bridges are rapidly developing. The development of intelligent monitoring and detection technologies and supporting equipment is an important research topic that urgently needs to be addressed for the full-lifecycle operation and maintenance of steel bridges and the sustainable development of bridge engineering. Developing new intelligent sensing components based on high-performance materials and sensing element design theory to improve the monitoring and detection perception ability is an important development direction for steel bridge monitoring and detection. Research on intelligent monitoring and detection technologies, standardized indicators, and related topics based on intelligent operations and maintenance provide great support for the development of steel-bridge disease monitoring and detection.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 188-208"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209575642400028X/pdfft?md5=2f315834146333a8d1809aa8d2fb262c&pid=1-s2.0-S209575642400028X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140797243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Potential effects of automated driving on vehicle travel demand: A comparison of three case cities 自动驾驶对车辆出行需求的潜在影响:三个案例城市的比较
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI: 10.1016/j.jtte.2022.03.003
Jingchen Dai , Ruimin Li , Zhiyong Liu
{"title":"Potential effects of automated driving on vehicle travel demand: A comparison of three case cities","authors":"Jingchen Dai ,&nbsp;Ruimin Li ,&nbsp;Zhiyong Liu","doi":"10.1016/j.jtte.2022.03.003","DOIUrl":"https://doi.org/10.1016/j.jtte.2022.03.003","url":null,"abstract":"<div><p>Automated vehicles (AVs) hold the potential to reduce road accidents, mitigate traffic congestion, and improve travel experience. However, the possible countervailing impacts from the changes in underserved populations' vehicle travel demand tend to be overlooked. To determine the vehicle travel demand changes that resulted from underserved populations aged between 6 and 80, this paper explores the latent effect of AVs on vehicle kilometers traveled (VKT) in a fully AV environment using person trip survey data from the cities of Sanya, Shijiazhuang, and Shenzhen in China. This paper uses the natural decline hypothesis of travel demand and proposes a regression model to investigate the difference among the cities' latent vehicle travel demand. Results show that the average VKT of the overall population in Sanya, Shijiazhuang, and Shenzhen increased by 33.4%, 47.0%, and 46.8%, respectively. The analysis of the regression model confirms that the current travel behavior of individuals can affect the degree of increase in their average VKT. Integrating AVs into public transport, increasing the acceptance of automated shared mobility options, transforming road space use type, and prototyping AV designs with various features and needs are potential methods to cope with the countervailing impacts. The total VKT of the overall population increased by approximately 10%–25% depending on the city. The conclusions of this paper provide informative insights into the evaluation of VKT for underserved populations and contribute to the deployment of AVs to address equity and inclusion issues.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 2","pages":"Pages 348-361"},"PeriodicalIF":7.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000230/pdfft?md5=5053a60b30f596c50185d06aa9cc289f&pid=1-s2.0-S2095756424000230-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140813540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Short-term prediction of on-street parking occupancy using multivariate variable based on deep learning 利用基于深度学习的多变量短期预测路边停车位占用率
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-02-01 DOI: 10.1016/j.jtte.2022.05.004
Mengqi Lyu , Yanjie Ji , Chenchen Kuai , Shuichao Zhang
{"title":"Short-term prediction of on-street parking occupancy using multivariate variable based on deep learning","authors":"Mengqi Lyu ,&nbsp;Yanjie Ji ,&nbsp;Chenchen Kuai ,&nbsp;Shuichao Zhang","doi":"10.1016/j.jtte.2022.05.004","DOIUrl":"10.1016/j.jtte.2022.05.004","url":null,"abstract":"<div><p>Short-term prediction of on-street parking occupancy is essential to the ITS system, which can guide drivers in finding vacant parking spaces. And the spatial dependencies and exogenous dependencies need to be considered simultaneously, which makes short-term prediction of on-street parking occupancy challenging. Therefore, this paper proposes a deep learning model for predicting block-level parking occupancy. First, the importance of multiple points of interest (POI) in different buffers is sorted by Boruta, used for feature selection. The results show that different types of POI data should consider different buffer radii. Then based on the real on-street parking data, long short-term memory (LSTM) that can address the time dependencies is applied to predict the parking occupancy. The results demonstrate that LSTM considering POI data after Boruta selection (LSTM (+BORUTA)) outperforms other baseline methods, including LSTM, with an average testing MAPE of 11.78%. The selection process of POI data helps LSTM reduce training time and slightly improve the prediction performance, which indicates that complex correlations among the same type of POI data in different buffer zones will also affect the prediction accuracy of LSTM. When there are more restaurants on both sides of the street, the prediction performance of LSTM (+BORUTA) is significantly better than that of LSTM.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 1","pages":"Pages 28-40"},"PeriodicalIF":7.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000011/pdfft?md5=191e9d14b305f376cd76ce76e3f91de1&pid=1-s2.0-S2095756424000011-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139537339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solving traffic data occlusion problems in computer vision algorithms using DeepSORT and quantum computing 利用 DeepSORT 和量子计算解决计算机视觉算法中的交通数据遮挡问题
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-02-01 DOI: 10.1016/j.jtte.2023.05.006
Frank Ngeni, Judith Mwakalonge, Saidi Siuhi
{"title":"Solving traffic data occlusion problems in computer vision algorithms using DeepSORT and quantum computing","authors":"Frank Ngeni,&nbsp;Judith Mwakalonge,&nbsp;Saidi Siuhi","doi":"10.1016/j.jtte.2023.05.006","DOIUrl":"10.1016/j.jtte.2023.05.006","url":null,"abstract":"<div><p>Inaccuracies of traffic sensors during traffic counting and vehicle classification have persisted as transportation agencies have been prompted to calibrate sensors periodically. Detection of multiple objects, heavy occlusions, and similar appearances in congested places are some causes of computer vision model inaccuracies. This paper used the YOLOv5 model for detection and the DeepSORT model for tracking objects. Due to the nature of the reported problem caused by many misses and mismatches, the power of quantum computing with the alternating direction method of multipliers (ADMM) optimizer was leveraged. A basic Kalman filter and the Hungarian algorithm features were used in combination with a quantum optimizer to present robust multiple object tracking (MOT) algorithms. This hybrid combination of the classical and quantum model has fastened learning the occludes during frame matching of tracks and detections by generating minimum quantum cost function value. Comparisons with the existing models indicated a significant increase in the primary MOT metric multiple object tracking accuracy (MOTA) by 16% more than the regular YOLOv5-DeepSORT model when using a quantum optimizer. Also, a 6% multiple object tracking precision (MOTP) increases and a 6% identification metrics (<em>F</em><sub>1</sub>) score increase were observed using the quantum optimizer with identity switching reduced from 6 to 4. This model is expected to assist transportation officials in improving the accuracy of traffic counts and vehicle classification and reduce the need for regular computer vision software calibration.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 1","pages":"Pages 1-15"},"PeriodicalIF":7.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095756424000072/pdfft?md5=2937be33f80f75d8a5a0301f63960fb1&pid=1-s2.0-S2095756424000072-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing the impacts of traffic calming at network level: A multimodal agent-based simulation 在网络层面评估交通疏导的影响:基于多模式代理的模拟
IF 7.9 2区 工程技术
Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-02-01 DOI: 10.1016/j.jtte.2023.01.003
Eftychia Zargiannaki, Panagiotis G. Tzouras, Eleni Antoniou, Christos Karolemeas, Konstantinos Kepaptsoglou
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