Zobrazeno 1 - 10
of 77
pro vyhledávání: '"connected vehicle data"'
Publikováno v:
Future Transportation, Vol 4, Iss 1, Pp 107-129 (2024)
International trade is a critical part of the United States economy. Land border crossings between the United States and Mexico accounts for a large proportion of the USD 779 billion in trade between these two countries. Monitoring and managing the o
Externí odkaz:
https://doaj.org/article/9ed3dd755b1f456b90dcf2baa0f994aa
Publikováno v:
Multimodal Transportation, Vol 3, Iss 2, Pp 100128- (2024)
Traffic crashes are deemed a leading cause of death and injury in the United States. To improve traffic safety, historical traffic crash data are typically analyzed with a focus on factors such as roadway geometry and traffic volume. However, due to
Externí odkaz:
https://doaj.org/article/528ad3447ed144299d1887c7a89b02c1
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 16-28 (2024)
Speeding remains a key factor in traffic fatalities, prompting transportation agencies to propose speed management solutions. While studies have examined speeding percentages above limits, few address its impact on individual journeys. Most studies r
Externí odkaz:
https://doaj.org/article/82a2cd6721344d5d920bfa14182e99c8
Publikováno v:
Future Transportation, Vol 3, Iss 4, Pp 1147-1174 (2023)
The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The identification of shock wave type and speed in a traffic stream provides critical information about the queue formation and its dissipation. This information
Externí odkaz:
https://doaj.org/article/b7756a087192440d8ecf515fe44c3e9b
Autor:
Somayeh Nazari Enjedani, Mandar Khanal
Publikováno v:
Future Transportation, Vol 3, Iss 1, Pp 349-367 (2023)
Turning movement (TM) data of vehicular traffic at intersections are a basic input for signal timing design. Existing methods of collecting TM data are time- and cost-intensive. Using connected vehicle (CV) data is an alternative method. Trajectories
Externí odkaz:
https://doaj.org/article/7f1c2680aff94ff5aeb4d7b87fdb544d
Autor:
Mandar Khanal, Nathaniel Edelmann
Publikováno v:
Eng, Vol 4, Iss 1, Pp 259-275 (2023)
Using surrogate safety measures is a common method to assess safety on roadways. Surrogate safety measures allow for proactive safety analysis; the analysis is performed prior to crashes occurring. This allows for safety improvements to be implemente
Externí odkaz:
https://doaj.org/article/8dd10728f39b46deb86480c861d01079
Publikováno v:
Vehicles, Vol 5, Iss 1, Pp 133-155 (2023)
With the emergence of connected vehicle data and high-resolution weather data, there is an opportunity to develop models with high spatial-temporal fidelity to characterize the impact of weather on interstate traffic speeds. In this study, 275,422 tr
Externí odkaz:
https://doaj.org/article/3aa986e3ea994b679f1a91fddf6f2c59
Akademický článek
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Publikováno v:
Contemporary Readings in Law and Social Justice. 14(1):105-120
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1058556
MACHINE LEARNING BASED APPROACH FOR EVAP SYSTEM EARLY ANOMALY DETECTION USING CONNECTED VEHICLE DATA
Publikováno v:
International Journal of Prognostics and Health Management, Vol 14, Iss 3 (2023)
From automobile manufacturers’ perspective, reduction of warranty cost leads to less expenditures, which then yields higher profits. Hence, it is crucial to leverage the different methods and available tools to achieve such outcome. Connected vehic
Externí odkaz:
https://doaj.org/article/c1dda3ed08c447d3804d33ca21aef7fb