Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Yikang Rui"'
Publikováno v:
IEEE Access, Vol 11, Pp 28076-28089 (2023)
Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the beha
Externí odkaz:
https://doaj.org/article/e96002c554bc44219adae8dc650dfb09
Publikováno v:
Sensors, Vol 24, Iss 1, p 86 (2023)
The deployment of Electronic Toll Collection (ETC) gantry systems marks a transformative advancement in the journey toward an interconnected and intelligent highway traffic infrastructure. The integration of these systems signifies a leap forward in
Externí odkaz:
https://doaj.org/article/18dbecb5bfbc4c1f8a2edb8f7bbbc750
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
Accurate and reliable traffic state identification is the prerequisite for developing intelligent traffic programs. With the improvement of intelligent traffic control measures, the traffic state of some highways has gradually stabilized. The current
Externí odkaz:
https://doaj.org/article/671da50d68e24fa5b21628fd1a7c2068
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 3, Pp 363-379 (2022)
Abstract High‐quality lane‐scale traffic data is of great importance to the intelligent transportation system. However, missing values are sometimes inevitable due to the failure of the detectors or the low penetration rates of the connected auto
Externí odkaz:
https://doaj.org/article/0c877f52d06848619c762dee9ff5fd78
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5648 (2023)
With the development of AI, the intelligence level of vehicles is increasing. Structured roads, as common and important traffic scenes, are the most typical application scenarios for realizing autonomous driving. The driving behavior decision-making
Externí odkaz:
https://doaj.org/article/3dc15bde6e064a979f467abc8d8fe330
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 4072 (2023)
Automated truck platooning has become an increasingly popular research subject, and its applicability to highways is considered one of the earliest possible landing scenarios for automated driving. However, there is a lack of research regarding the c
Externí odkaz:
https://doaj.org/article/e66dfc697f1d479d9db9c6cd9fa2dff1
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
Timely and precise traffic state estimation of urban roads is significant for urban traffic management and operation. However, most of the advanced studies focus on building complex deep learning structures to learn the spatiotemporal feature of the
Externí odkaz:
https://doaj.org/article/bbf3dce58ddb4428bad219401597be8c
Publikováno v:
IEEE Access, Vol 8, Pp 42042-42054 (2020)
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 cha
Externí odkaz:
https://doaj.org/article/b2aeaa811270454abd2739117010788a
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7287 (2021)
Connected and automated vehicles (CAVs) platoons have been widely researched because of their efficiency advantages. However, most studies mainly focus on the stability control of platoon and there is a lack of in-depth consideration of platoon lane
Externí odkaz:
https://doaj.org/article/5117aa8d71ca46e78a270405dacbe41c
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 3, p 27 (2016)
Mainland China has become one of the most important markets for international fast-food chains over the past decade. To study the regional spread of KFC and McDonald’s outlets in Chinese cities, the correlation of their distributions and degree of
Externí odkaz:
https://doaj.org/article/3231f430121e49c9bced9f24e1a40f54