Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Wenxin Teng"'
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2933 (2023)
Autonomous localization without local wireless facilities is proven as an efficient way for realizing location-based services in complex urban environments. The precision of the current map-matching algorithms is subject to the poor ability of integr
Externí odkaz:
https://doaj.org/article/e7756bd3fa4841708a34ae601f5394b8
Publikováno v:
IEEE Access, Vol 8, Pp 44957-44966 (2020)
Previous real-time lane-level positioning algorithms for in-vehicle navigation systems have problems of inaccurate positioning and insufficient robustness. Therefore, this paper proposes a new lane-level positioning algorithm integrating Improved fil
Externí odkaz:
https://doaj.org/article/6222650cbee247f6a00abd7005ab6d95
Publikováno v:
Sensors, Vol 22, Iss 22, p 8880 (2022)
Traffic flow prediction is a key issue in intelligent transportation systems. The growing trend in data disclosure has created more potential sources for the input for predictive models, posing new challenges to the prediction of traffic flow in the
Externí odkaz:
https://doaj.org/article/59883d47bb0444219fc82d6f61ab19c6
Publikováno v:
Transportmetrica B: Transport Dynamics. 11:1071-1091
Publikováno v:
Remote Sensing; Volume 15; Issue 11; Pages: 2933
Autonomous localization without local wireless facilities is proven as an efficient way for realizing location-based services in complex urban environments. The precision of the current map-matching algorithms is subject to the poor ability of integr
Publikováno v:
Fuel. 349:128733
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Autor:
Yangfan Chen, Hongyan Yan, Wenxin Teng, Jiangling Li, Weizao Liu, Shan Ren, Jian Yang, Qingcai Liu
Publikováno v:
Fuel. 337:127210
Autor:
Wenxin Teng, Yanhui Wang
Publikováno v:
Open Geosciences, Vol 11, Iss 1, Pp 288-297 (2019)
Previous real-time map matching algorithms for in-vehicle navigation systems had some efficiencies and defects on time lagging and low accuracy. As a response, this paper proposes a new algorithm that integrates STP (spatio-temporal proximity) and IW
Publikováno v:
Computers, Environment and Urban Systems. 96:101849