Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yangsong Gu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2237 (2024)
Monitoring pavement conditions is critical to pavement management and maintenance. Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser scanning. However, the geographical coverage and temporal frequency are con
Externí odkaz:
https://doaj.org/article/82afb7ff0de5426d98da6ff2e5db184b
Publikováno v:
Algorithms, Vol 16, Iss 10, p 485 (2023)
Intelligent transportation systems (ITSs) usually require monitoring of massive road networks and gathering traffic data at a high spatial and temporal resolution. This leads to the accumulation of substantial data volumes, necessitating the developm
Externí odkaz:
https://doaj.org/article/30632356baf0483cbdbfa03e77d8b30e
Publikováno v:
Informatics, Vol 8, Iss 1, p 17 (2021)
In traffic operations, the aim of transportation agencies and researchers is typically to reduce congestion and improve safety. To attain these goals, agencies need continuous and accurate information about the traffic situation. Level-of-Service (LO
Externí odkaz:
https://doaj.org/article/83548eb2c0634a44a2fd30c2c8b3e784
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:648-663
Monitoring large trucks (LT) plays an essential role in the operation and planning of transportation and economics. Although many “advanced” traffic detectors (e.g., infrared, microwave, and magnetic sensors) can identify LT, those technologies a
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:946-959
The year 2020 has marked the spread of a global pandemic, COVID-19, challenging many aspects of our daily lives. Different organizations have been involved in controlling this outbreak. The social distancing intervention is deemed to be the most effe
Publikováno v:
Accident Analysis & Prevention. 179:106880
Accurate crash frequency prediction is critical for proactive safety management. The emerging connected vehicles technology provides us with a wealth of vehicular motion data, which enables a better connection between crash frequency and driving beha
Publikováno v:
Informatics, Vol 8, Iss 17, p 17 (2021)
Informatics
Volume 8
Issue 1
Informatics
Volume 8
Issue 1
In traffic operations, the aim of transportation agencies and researchers is typically to reduce congestion and improve safety. To attain these goals, agencies need continuous and accurate information about the traffic situation. Level-of-Service (LO