Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Zongtao Duan"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 2, Pp 240-247 (2022)
Travel route recommendation is one of the important research contents in the field of intelligent transportation. Traditional route recommendation methods often recommend routes on the basis of a single factor such as the shortest route or the shorte
Externí odkaz:
https://doaj.org/article/7657a6806443408884943ec22653f8fd
Publikováno v:
IEEE Access, Vol 8, Pp 23487-23495 (2020)
With advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction. Therefore, analyzing Location-based Social Network is a very valuable work in ac
Externí odkaz:
https://doaj.org/article/f70703b30c9949ddb31e807b8249ca44
Publikováno v:
IEEE Access, Vol 8, Pp 192435-192456 (2020)
Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and related applications, which aims to complete the structure of knowledge graph by predicting the missing entities or relationships in knowledge graph and mining unknow
Externí odkaz:
https://doaj.org/article/1430a95d401c4102a2543abf966b15b1
Publikováno v:
IEEE Access, Vol 8, Pp 217592-217602 (2020)
In the Vehicle-to-Grid (V2G) network, the electric vehicles (EVs) need to report their respective information, such as vehicle identity, battery capacity, battery state of charge (SoC), current location, and driving direction, to the power grid throu
Externí odkaz:
https://doaj.org/article/416323d0b2ff43a5b55503ac9b8948ee
Publikováno v:
IEEE Access, Vol 7, Pp 127816-127832 (2019)
Predicting city-scale taxi origin-destination (OD) flows takes an important role in understanding passengers' travel demands as well as managing taxi operation and scheduling. But the complex spatial dependencies and temporal dynamics make this probl
Externí odkaz:
https://doaj.org/article/abdc5ff3559247b690a4ce33e0f6bb00
Publikováno v:
IEEE Access, Vol 7, Pp 118135-118145 (2019)
As process technology scales, electronic devices become more susceptible to soft error induced by radiation. Silent data corruption (SDC) is considered the most severe outcome incurred by soft error. The effects of faulty variables on producing SDC v
Externí odkaz:
https://doaj.org/article/9902fc18f7874b7f81b17ead4211e9b0
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 16 (2020)
The tracking and behavior recognition of heavy-duty trucks on roadways are keys for the development of automated heavy-duty trucks and an advanced driver assistance system. The spatiotemporal information of trucks from trajectory tracking and motions
Externí odkaz:
https://doaj.org/article/5c2f32ad18bd41fab450eaee449e13e4
Publikováno v:
IEEE Access, Vol 6, Pp 31820-31827 (2018)
The urban traffic flow prediction is a significant issue in the intelligent transportation system. In consideration of nonlinear and spatial-temporal features of urban traffic data, we propose a deep hybrid neural network improved by greedy algorithm
Externí odkaz:
https://doaj.org/article/74e32239ac0f4f588ecf031956e08ccf
Publikováno v:
IEEE Access, Vol 6, Pp 68760-68772 (2018)
To provide travel recommendations and planning in the intelligent transportation system (ITS), we must have the ability to find similar travel patterns among users based on their real mobility traces. To measure the similarity of user's travel behavi
Externí odkaz:
https://doaj.org/article/2d6bdd2105d5458088211303c75850eb
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. However, current delay-tolerant network routing algorithms do not take
Externí odkaz:
https://doaj.org/article/d7e797f02e79401faab1f7fb91078272