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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2977219
Abstract: Accurate and efficient lane-level traffic flow prediction is a challenging issue in the framework of the connected automated vehicle highway system. However, most existing traffic flow forecasting methods concentrate on mining the spatio-temporal characteristics of…
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Keywords:
level traffic;
model;
lane level;
traffic ... See more keywords
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Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004293
Abstract: The essential requirement for precise localization of a self-driving car is a lane-level map which includes road markings (RMs). Obviously, we can build the lane-level map by running a mobile mapping system (MMS) which is…
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Keywords:
road;
lane level;
level map;
level ... See more keywords
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1
Published in 2022 at "IEEE Vehicular Technology Magazine"
DOI: 10.1109/mvt.2022.3209503
Abstract: Autonomous vehicles rely on lane-level high-definition (HD) maps for self-localization and trajectory planning. Current mapping, however, relies on simple line models, while clothoid curves have unexplored potential. Clothoids, well known in road design, are often…
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Keywords:
high definition;
definition maps;
control;
level high ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3038457
Abstract: Lane-level traffic state prediction is one of the most essential issues in the connected automated vehicle highway systems. Accurate and timely traffic state prediction of the lane sections can assist the connected automated vehicles in…
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Keywords:
traffic;
level traffic;
model;
traffic speed ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3040955
Abstract: The last decade has witnessed a growing demand for precise positioning in many applications, including autonomous car navigation. The safety features in autonomous driving and Advanced Driver Assistance Systems (ADAS) require lane-level positioning accuracy. Such…
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Keywords:
navigation;
system;
lane level;
car navigation ... See more keywords
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Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19105867
Abstract: Real-time regional risk prediction can play a crucial role in preventing traffic accidents. Thus, this study established a lane-level real-time regional risk prediction model. Based on observed data, the least squares-support vector machines (LS-SVM) algorithm…
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Keywords:
risk prediction;
lane level;
risk;
regional risk ... See more keywords