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2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)最新文献

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Safety state evaluation and risk management of navigation environment in harbour waters based on Bayesian network 基于贝叶斯网络的港口水域航行环境安全状态评价与风险管理
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581312
Zhao Chen, Qingnian Zhang, Xingguo Wu, Jie Yang, Xiaoya Zhang
{"title":"Safety state evaluation and risk management of navigation environment in harbour waters based on Bayesian network","authors":"Zhao Chen, Qingnian Zhang, Xingguo Wu, Jie Yang, Xiaoya Zhang","doi":"10.1109/ICITE.2016.7581312","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581312","url":null,"abstract":"This paper establishes the index system of the safety evaluation of navigation environment from perspective of which affects the navigation safety. After that, Bayesian network security evaluation method is introduced and the fuzzy set theory is combined to construct a safety state evaluation model. Then the safety condition of the navigation environment is expressed in the form of safety probability.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124676365","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}
引用次数: 1
Enhanced dynamic background updating MOD algorithm for harsh environmental conditions 针对恶劣环境条件的改进动态背景更新MOD算法
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581315
Destalem Kelemewerk, Yanggon Kim, Joonhyuk Yoo
{"title":"Enhanced dynamic background updating MOD algorithm for harsh environmental conditions","authors":"Destalem Kelemewerk, Yanggon Kim, Joonhyuk Yoo","doi":"10.1109/ICITE.2016.7581315","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581315","url":null,"abstract":"This paper presents an algorithm which is capable of detecting moving objects in challenging environmental conditions. This work is mainly based on the recently published Dynamic Background Updating (DBU) for lightweight moving object detection. In the DBU algorithm, a combined temporal difference and background subtraction technique that exploits both frame-based and pixel-based background updates is used to detect some moving objects in the application scenario with a static camera. Even though its complexity can be significantly reduced, the main drawback of DBU is its lower performance compared to the GMM-based algorithms at harsh environmental conditions which have a non-uniform illumination distribution or extremely high/low light. By presenting a pre-pixel processing of adaptive histogram equalization and a post-pixel processing of bounding box interpolation, this paper proposes an Enhanced DBU (EDBU) algorithm to accurately detect moving objects even in harsh environmental conditions. Experimental results show that the proposed algorithm does not only increase the detection rate of the previous DBU algorithm but also exceeds the performance of GMM-based algorithms by at least 15%.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"525 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130714596","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}
引用次数: 0
Research on traffic information transmission algorithm in internet of vehicles 车联网交通信息传输算法研究
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581323
Chao Yan, Jian Wang, Zhongkui Li
{"title":"Research on traffic information transmission algorithm in internet of vehicles","authors":"Chao Yan, Jian Wang, Zhongkui Li","doi":"10.1109/ICITE.2016.7581323","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581323","url":null,"abstract":"In internet of vehicles (IOV), on-board Ad hoc network between vehicles is established randomly and freely based on dedicated short range communication technology, enabling the vehicles beyond visual range of drivers and signal transmission range of on-board communication equipment to establish communication connection for transmission and sharing of information and data through single-hop and multi-hop transmission. The current several routing protocols of Ad hoc network have their own advantages and disadvantages, therefore revision is still necessary to meet communication requirement and apply in various scenes of internet of vehicles. Based on communication requirement between vehicles under IOV environment, traditional zone routing protocol(ZRP) was improved and topology maintenance algorithm and routing searching algorithm between vehicles were put forward in the paper, and assessment to algorithm through OPNET modeler stimulation software was conducted. The result displayed that the improved ZRP routing protocol algorithm has promoted information transmission rate and efficiency, and reduced network energy consumption with good performance, which meets the information transmission need in internet of vehicles.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133227491","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}
引用次数: 2
Identifying spatial structure of travel modes through community detection method 通过社区检测方法识别出行方式的空间结构
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581337
Jun Li, Wenna Zhang
{"title":"Identifying spatial structure of travel modes through community detection method","authors":"Jun Li, Wenna Zhang","doi":"10.1109/ICITE.2016.7581337","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581337","url":null,"abstract":"Identifying the spatial structure of travel activities could help better understand the urban structure, as the structure of a city is heavily shaped by its transportation system. Today the emerging traffic big data contributes a lot to delineate daily travel activity of individuals. In this paper, multi sources of travel data are utilized to give a full description for the spatial structure of travel modes in a city. Firstly, the massive intra-city travel flow data are constructed as connection embedded networks. Then, using the community detection method and the network analysis method, the latent spatial connection structure of travel modes and corresponding properties of sub-networks are investigated. Finally, a case study of Guangzhou is conducted using travel data of three travel modes. Results imply that revealed structures correlate with the land use and the geographical distance. The taxi flow network shares similar characteristics with the bus flow network, but the mass transit railway system is more independent.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125559249","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}
引用次数: 6
K-means aided Kalman Filter noise estimation calibration for integrated GPS/INS Navigation GPS/INS组合导航的k均值辅助卡尔曼滤波噪声估计校准
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581325
Chen Rui
{"title":"K-means aided Kalman Filter noise estimation calibration for integrated GPS/INS Navigation","authors":"Chen Rui","doi":"10.1109/ICITE.2016.7581325","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581325","url":null,"abstract":"GPS/INS integrated Kalman Filter is widely used in vehicle navigation. Conventional Kalman Filter is based on the assumption that noise covariances are fully estimated as Gaussian. However, GPS/INS integrated systems may encounter with inaccurate noise estimation, transient interference, hence noise estimation calibration is required. In this paper, a novel method is proposed, it uses K-Means clustering to automatically identify and discard transient interferences. This method does not require a priori knowledge of transient interferes, and both noise estimation in dynamic update process and measurement update process can be calibrated. Only steady measurement errors are used to calibrate noise estimation. Experiment results show the effectiveness of this method.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121042546","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}
引用次数: 9
Research on the Yangtze River accident casualties using zero-inflated negative binomial regression technique 基于零膨胀负二项回归技术的长江交通事故伤亡研究
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581310
W. Hao, Yang Ya-dong, Ma Yong
{"title":"Research on the Yangtze River accident casualties using zero-inflated negative binomial regression technique","authors":"W. Hao, Yang Ya-dong, Ma Yong","doi":"10.1109/ICITE.2016.7581310","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581310","url":null,"abstract":"The zero-inflated negative binomial regression model is used to study the influencing factors of casualties in water traffic accidents. The Pearson correlation analysis is used to obtain the influencing factors of casualties in water traffic accidents. The ZINB regression model is established to evaluate the influencing factors. According to the analysis results, influencing factors are sorted in the ascending order of factor influencing value. This method has been applied in casualties in water traffic, which is in the area under administration of Yangtze River MSA (Maritime Safety Administration). And the results can provide the reference for the maritime management to make effective strategy to reduce the casualties in water traffic accidents.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112558","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}
引用次数: 5
Land vehicle positioning in urban area by integrated GPS/BeiDou/OBD-II/MEMS IMU 基于GPS/北斗/OBD-II/MEMS IMU的城市地面车辆定位
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581329
JoonHoo Lim, K. Choi, L. Kim, H. Lee
{"title":"Land vehicle positioning in urban area by integrated GPS/BeiDou/OBD-II/MEMS IMU","authors":"JoonHoo Lim, K. Choi, L. Kim, H. Lee","doi":"10.1109/ICITE.2016.7581329","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581329","url":null,"abstract":"This paper proposes an efficient hybrid positioning method for land vehicles in urban area. As widely known, any single satellite positioning system suffers from the lack of satellite visibility in urban area. To improve positioning availability in urban area, the proposed method integrates a GPS/BeiDou receiver, an OBD-II (On-Board Diagnostics-II) device, and a MEMS IMU (Micro Electro Mechanical Systems-Inertial Measurement Unit). The proposed method corrects the inertial velocity by the speed provided by the OBD-II device. To evaluate the feasibility of the proposed method, an experiment was performed in a deep urban environment. By the experiment result demonstrates that positioning availability can be improved dramatically in deep urban area by integrating different sensors.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128387735","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}
引用次数: 8
A review of the link traffic time estimation of urban traffic 城市交通路段交通时间估计研究进展
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581319
Ting-Yi Yu, Jianxiao Ma
{"title":"A review of the link traffic time estimation of urban traffic","authors":"Ting-Yi Yu, Jianxiao Ma","doi":"10.1109/ICITE.2016.7581319","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581319","url":null,"abstract":"The link traffic time estimation for urban traffic is an important part of the route guidance system, it is a necessary condition to realize the multiple functions of intelligent transportation, which has important effect on traffic planning, traffic management and traffic control. From the perspective of the research content, this paper analyzes the studies of link travel time estimation of urban road net in detail, which are divided into model construction and optimization. On the basis of the previous work, it pointed out the challenges and developing trend of the research about the work of link travel time estimation. This paper puts forward some constructive suggestions for the future research of link travel time estimation.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"13 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114118781","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}
引用次数: 4
Modeling of subway stations circulation facilities as state-dependent queuing network based on phase-type distribution 基于相位型分布的地铁站流通设施状态依赖排队网络建模
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581321
Afaq Khattak, Yangsheng Jiang
{"title":"Modeling of subway stations circulation facilities as state-dependent queuing network based on phase-type distribution","authors":"Afaq Khattak, Yangsheng Jiang","doi":"10.1109/ICITE.2016.7581321","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581321","url":null,"abstract":"The codes for analysis and design of subway station circulation facilities neglect the important factors such as passenger flow randomness, state-dependent service time of circulation facilities, and passengers blocking when demand exceeds capacity. This paper proposes a new Discrete-Event Simulation (DES) method using Phase-Type distribution to analyze the performance of circulation facilities of subway station as a queuing network. The proposed method is compared to the existing methods and it is observed that existing methods underestimate the performance measures values by neglecting the important factors. The new DES method will allow the planners and designers of subway station to make intelligent decision regarding circulation facilities design as well as when and how to upgrade the circulation facilities.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128044078","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}
引用次数: 11
Design optimization of pillar inner left right panel using FEA method 采用有限元法对柱内左右板进行优化设计
2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2016-08-01 DOI: 10.1109/ICITE.2016.7581333
Dong Ha Lee, Phong Nguyen Ha, D. Jung
{"title":"Design optimization of pillar inner left right panel using FEA method","authors":"Dong Ha Lee, Phong Nguyen Ha, D. Jung","doi":"10.1109/ICITE.2016.7581333","DOIUrl":"https://doi.org/10.1109/ICITE.2016.7581333","url":null,"abstract":"Car industry is moving fast and design optimization is becoming more and more important for manufacturers to be able to bring out their best products. After a part of the car is designed using 3D Modeling software, it will be delivered to finite element analysis (FEA) software to do simulation in order to understand if the model is ready for mass production or not. This is a persistence job because it requires a lot of attempts before presenting the most successful design. In this paper, we use a PILR (Pillar inner left right panel) model as the examined object for design optimization. The cold stamping process is used for making this part, all results obtained from FEA analysis will also be discussed.","PeriodicalId":352958,"journal":{"name":"2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123655851","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}
引用次数: 0
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