Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yishui Zhu"'
Publikováno v:
IEEE Access, Vol 8, Pp 197337-197351 (2020)
The prebraking-related actions typically studied are the main maneuvers carried out to avoid collision. Especially for those braking actions taken when turning or parking, accidents often occur because of human errors such as the incorrect choice of
Externí odkaz:
https://doaj.org/article/cce8f55a3f5740818b84f4ee842a3170
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Service recommendations help travelers locate en route traffic information service of interest in a timely manner. However, recommendations based on simple traffic information, such as the number of requests for the location of a facility, fail to co
Externí odkaz:
https://doaj.org/article/a55c2ed7ab474000b54a022e330e87a9
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
Service matching aims to find the information similar to a given query, which has numerous applications in web search. Although existing methods yield promising results, they are not applicable for transportation. In this paper, we propose a multilev
Externí odkaz:
https://doaj.org/article/101a3b9f93ef4516b46fa96f6598a720
Publikováno v:
CCF Transactions on Pervasive Computing and Interaction. 5:157-182
Previous studies have shown that about 90% of traffic accidents are due to human error, which means that human factors may affect a driver's braking behaviors and thus their driving safety, especially when the driver makes a braking motion. However,
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:1320-1333
In this paper, we aim to provide an optimal passenger matching solution by recommending ridesharing groups of passengers from GPS trajectories. Existing algorithms for rider grouping usually rely on matching pre-selected origin-destination coordinate
Publikováno v:
IEEE Access, Vol 8, Pp 197337-197351 (2020)
The prebraking-related actions typically studied are the main maneuvers carried out to avoid collision. Especially for those braking actions taken when turning or parking, accidents often occur because of human errors such as the incorrect choice of
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).