Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Lieping Zhang"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1845 (2024)
To address traffic flow fluctuations caused by changes in traffic signal control schemes on tidal lanes and maintain smooth traffic operations, this paper proposes a method for controlling traffic signal transitions on tidal lanes. Firstly, the propo
Externí odkaz:
https://doaj.org/article/76be4a1232ed44998b86f0b00fe40cf7
Autor:
Guoqing Zhou, Gongbei Wu, Xiang Zhou, Chao Xu, Dawei Zhao, Jinchun Lin, Zhexian Liu, Haotian Zhang, Qingyang Wang, Jiasheng Xu, Bo Song, Lieping Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103253- (2023)
The water depth bias of LiDAR point cloud data has to be corrected. The previous models, which used the fixed parameters for an entire water area, cannot efficiently correct the bias due to the different water environments. Therefore, this paper deve
Externí odkaz:
https://doaj.org/article/0cc10b52118647d08eb0b25a025af5ab
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
A new type of dynamic bus lane not only ensures the strategy of bus priority but also significantly improves the spatiotemporal utilization of road resources and reduces the conflicting demands of buses and social vehicles on road resources. Firstly,
Externí odkaz:
https://doaj.org/article/ff76226ce42a412bbbb2a809e39befbb
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
To improve traffic efficiency and utilization of road resources and alleviate traffic congestion caused by imbalance of bidirectional traffic flow, in view of the conversion conditions of reversible lane function, the operating characteristics of ass
Externí odkaz:
https://doaj.org/article/d9437c1c768947a990c7ecfad22355a7
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 18 (2022)
Node localization is one of the key technologies in the wireless sensor network research field, which is crucial to the high-accuracy localization of mobile nodes, but the positioning error of traditional algorithms such as received signal strength i
Externí odkaz:
https://doaj.org/article/4b80bae213ef4610af0b581e284e9b12
Autor:
Haizhao Lu, Lieping Zhang, Hongyuan Chen, Shenglan Zhang, Shoufeng Wang, Huihao Peng, Jianchu Zou
Publikováno v:
Sensors, Vol 23, Iss 8, p 3952 (2023)
Considering the low indoor positioning accuracy and poor positioning stability of traditional machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted k-nearest neighbors (WKNN) and extreme gradient boosting (XGBoost
Externí odkaz:
https://doaj.org/article/33b81218d8c74eb6ac297ea2de89edf8
Publikováno v:
Systems Science & Control Engineering, Vol 8, Iss 1, Pp 477-487 (2020)
To reduce the influence of received signal strength indication (RSSI) on ranging error, as well as the influence of least squares support vector regression (LSSVR) on localization algorithm, a node three-dimensional localization algorithm based on RS
Externí odkaz:
https://doaj.org/article/4a300b91a3e14e66a4d61e21084dfa32
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2454 (2023)
With the traffic congestion problem deteriorating, people increasingly choose urban rail transit (URT) to travel. Although URT alleviates traffic congestion, the long-term operation of a large number of trains leads to huge energy consumption. In ord
Externí odkaz:
https://doaj.org/article/a2d3d2d3e3424a2a856b4121f1d2435d
Autor:
Guoqing Zhou, Xiang Zhou, Weihao Li, Dawei Zhao, Bo Song, Chao Xu, Haotian Zhang, Zhexian Liu, Jiasheng Xu, Gangchao Lin, Ronghua Deng, Haocheng Hu, Yizhi Tan, Jinchun Lin, Jiazhi Yang, Xueqin Nong, Chenyang Li, Yiqiang Zhao, Cheng Wang, Lieping Zhang, Liping Zou
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5880 (2022)
Traditional bathymetry LiDAR (light detection and ranging) onboard manned and/or unmanned airborne systems cannot operate in the context of narrow rivers in urban areas with high buildings and in mountainous areas with high peaks. Therefore, this stu
Externí odkaz:
https://doaj.org/article/95b396e24e2243ef8fa64139c017f137
Publikováno v:
Systems Science & Control Engineering, Vol 7, Iss 1, Pp 20-27 (2019)
A Cuckoo Search (CS) algorithm based on ant colony algorithm is proposed for scheduling problem in permutation flow shop scheduling problem (PFSP). When the raised CS algorithm obtains the position of the bird nest to be updated, it is used as a set
Externí odkaz:
https://doaj.org/article/ee3209d9628644cb8f2fbeed59196f25