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IEEE Transactions on Intelligent Transportation Systems最新文献

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Local-Perception-Enhanced Spatial–Temporal Evolving Graph Transformer Network: Citywide Demand Prediction of Taxi and Ride-Hailing 本地感知增强型时空演化图变换网络：全市出租车和打车需求预测
IF 7.9 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/TITS.2024.3450846
Zhihuan Jiang;Ailing Huang;Qian Luo;Wei Guan
{"title":"Local-Perception-Enhanced Spatial–Temporal Evolving Graph Transformer Network: Citywide Demand Prediction of Taxi and Ride-Hailing","authors":"Zhihuan Jiang;Ailing Huang;Qian Luo;Wei Guan","doi":"10.1109/TITS.2024.3450846","DOIUrl":"10.1109/TITS.2024.3450846","url":null,"abstract":"Accurate prediction of demand for traditional taxi and ride-hailing services is crucial for addressing supply-demand imbalances. However, recent studies based on global adaptive graphs, local spatial-temporal graphs, and self-attention mechanisms struggle to effectively capture the dynamic and intricate relations in demand. Moreover, existing dynamic graph generators face challenges in efficiently producing high-quality graphs to learn the diverse interactions among zones along time axis and their shared patterns spanning various time scales. To solve these challenges, we propose a novel Local-Perception-Enhanced Spatial-Temporal Evolving Graph Transformer Network (LPE-STGTN), aimed at improving the effectiveness and efficiency of extracting intricate local dependencies in taxi demand. Specifically, we elaborately design a spatial-temporal evolving graph generator to absorb shared and diversified inter-zone relations across different temporal periodicities and specific interactions among zones within each time step. Furthermore, an attention free transformer with local context (AFT-local) is introduced to effectively learn the correlations between adjacent time steps. Extensive experiments on three taxi datasets of New York and Beijing are carried out to evaluate the superior performance of our model. Compared with the most competitive baseline, our model achieves a balance between effectiveness and efficiency on three datasets, with average training time reduction of 70.66% and average performance improvement of 1.96%.","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"25 11","pages":"17105-17121"},"PeriodicalIF":7.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resource Block-Based Co-Design of Trajectory and Communication in UAV-Assisted Data Collection Networks 无人机辅助数据采集网络中基于资源块的轨迹和通信协同设计
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450538
Yanyan Guo, Ge Xu, Zhicai Zhang, Zengbiao Li, Xinzhe You, Guixia Kang, Lin Cai, Laurence T. Yang
{"title":"Resource Block-Based Co-Design of Trajectory and Communication in UAV-Assisted Data Collection Networks","authors":"Yanyan Guo, Ge Xu, Zhicai Zhang, Zengbiao Li, Xinzhe You, Guixia Kang, Lin Cai, Laurence T. Yang","doi":"10.1109/tits.2024.3450538","DOIUrl":"https://doi.org/10.1109/tits.2024.3450538","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"5 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction DTCLMapper：用于矢量化高清地图构建的双时间一致性学习
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450704
Siyu Li, Jiacheng Lin, Hao Shi, Jiaming Zhang, Song Wang, You Yao, Zhiyong Li, Kailun Yang
{"title":"DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction","authors":"Siyu Li, Jiacheng Lin, Hao Shi, Jiaming Zhang, Song Wang, You Yao, Zhiyong Li, Kailun Yang","doi":"10.1109/tits.2024.3450704","DOIUrl":"https://doi.org/10.1109/tits.2024.3450704","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"60 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Customized Bus Service Design With Holding Control and Heterogeneous Fleet: A Column-Generation-Based Decomposition Algorithm 具有保持控制和异构车队的定制公交服务设计：基于列生成的分解算法
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450526
Xiang Li, Yuwei Zhao, Ziyan Feng
{"title":"Customized Bus Service Design With Holding Control and Heterogeneous Fleet: A Column-Generation-Based Decomposition Algorithm","authors":"Xiang Li, Yuwei Zhao, Ziyan Feng","doi":"10.1109/tits.2024.3450526","DOIUrl":"https://doi.org/10.1109/tits.2024.3450526","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"130 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Secure Personalized Federated Learning Algorithm for Autonomous Driving 用于自动驾驶的安全个性化联合学习算法
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450726
Yuchuan Fu, Xinlong Tang, Changle Li, Fei Richard Yu, Nan Cheng
{"title":"A Secure Personalized Federated Learning Algorithm for Autonomous Driving","authors":"Yuchuan Fu, Xinlong Tang, Changle Li, Fei Richard Yu, Nan Cheng","doi":"10.1109/tits.2024.3450726","DOIUrl":"https://doi.org/10.1109/tits.2024.3450726","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"38 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MS-DETR: Multispectral Pedestrian Detection Transformer With Loosely Coupled Fusion and Modality-Balanced Optimization MS-DETR：采用松耦合融合和模态平衡优化技术的多光谱行人检测变换器
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450584
Yinghui Xing, Shuo Yang, Song Wang, Shizhou Zhang, Guoqiang Liang, Xiuwei Zhang, Yanning Zhang
{"title":"MS-DETR: Multispectral Pedestrian Detection Transformer With Loosely Coupled Fusion and Modality-Balanced Optimization","authors":"Yinghui Xing, Shuo Yang, Song Wang, Shizhou Zhang, Guoqiang Liang, Xiuwei Zhang, Yanning Zhang","doi":"10.1109/tits.2024.3450584","DOIUrl":"https://doi.org/10.1109/tits.2024.3450584","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"4 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Synergizing Autonomous and Traditional Vehicles: A Systematic Review of Advances and Challenges in Traffic Flow Management With Signalized Intersections 自动驾驶车辆与传统车辆的协同作用：信号交叉口交通流管理的进展与挑战系统综述
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450471
Mitali Sarkar, Ohhyun Kweon, Byung-In Kim, Dong Gu Choi, Duck Young Kim
{"title":"Synergizing Autonomous and Traditional Vehicles: A Systematic Review of Advances and Challenges in Traffic Flow Management With Signalized Intersections","authors":"Mitali Sarkar, Ohhyun Kweon, Byung-In Kim, Dong Gu Choi, Duck Young Kim","doi":"10.1109/tits.2024.3450471","DOIUrl":"https://doi.org/10.1109/tits.2024.3450471","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"12 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Autonomous Vehicles Lane-Changing Trajectory Planning Based on Hierarchical Decoupling 基于层次解耦的自动驾驶汽车变道轨迹规划
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450963
Xinyou Lin, Tianfeng Wang, Songrong Zeng, Zhiyong Chen, Liping Xie
{"title":"Autonomous Vehicles Lane-Changing Trajectory Planning Based on Hierarchical Decoupling","authors":"Xinyou Lin, Tianfeng Wang, Songrong Zeng, Zhiyong Chen, Liping Xie","doi":"10.1109/tits.2024.3450963","DOIUrl":"https://doi.org/10.1109/tits.2024.3450963","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"96 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction 合作还是竞争？基于信息量的抢票预测周期感知变换器
IF 8.5 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-06 DOI: 10.1109/tits.2024.3450610
Wanjie Tao, Huihui Liu, Jia Xu, Qun Dai, Jing Zhou, Hong Wen, Zulong Chen
{"title":"Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction","authors":"Wanjie Tao, Huihui Liu, Jia Xu, Qun Dai, Jing Zhou, Hong Wen, Zulong Chen","doi":"10.1109/tits.2024.3450610","DOIUrl":"https://doi.org/10.1109/tits.2024.3450610","url":null,"abstract":"","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"7 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength 多式联运公共交通网络的级联故障：车站耦合强度的作用
IF 7.9 1区 工程技术
IEEE Transactions on Intelligent Transportation Systems Pub Date : 2024-09-05 DOI: 10.1109/TITS.2024.3450019
Jing Li;Qing-Chang Lu;Peng-Cheng Xu;Shixin Wang;Chi Xie
{"title":"Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength","authors":"Jing Li;Qing-Chang Lu;Peng-Cheng Xu;Shixin Wang;Chi Xie","doi":"10.1109/TITS.2024.3450019","DOIUrl":"10.1109/TITS.2024.3450019","url":null,"abstract":"While many studies explore cascading failures on single transit network, most of them fail to interpret the spread of failures between multimodal public transportation systems. Relevant research tends to measure station coupling strength under normal conditions, but this strength would change due to the variations of network topology, transportation, and travel characteristics under cascading failures. To address the above issues, this study proposes a multimodal coupled map lattice model addressing station coupling strength during failures. This model aims to explore the spread of failures across coupled multimodal transit networks, identifying the paths and intensity of cascading failures between different public transport modes. It also examines the impacts of station coupling asymmetry, resulting from transportation efficiency and operation modes of different transit systems on cascading failures. The proposed model is then applied to the metro-bus coupled networks of Shenzhen, China. The results indicate that cascading failures on metro network would be alleviated when coupled with bus network. However, cascading failures are magnified on bus network when coupled with metro network. On the metro-bus coupled networks, failures of stations/stops with higher station coupling strength would cause more serious cascading failures than those of failures of important stations or stops on single network. In addition, the spread speed of cascading failures on metro-bus coupled networks depends largely on the number of failed metro stations. Findings of this work would offer valuable insights for the planning of robust metro-bus coupled systems and efficient emergency responses to avoid large-scale network failures.","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"25 11","pages":"17187-17199"},"PeriodicalIF":7.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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