Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nima Hoseinzadeh"'
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Autonomous vehicles (AVs) represent a new, growing segment of transportation research. While there have been prior studies and deployments of AVs worldwide, full autonomy in bus transit has gained interest among researchers and practitioners within t
Externí odkaz:
https://doaj.org/article/95332c2b7268495380404f3314294a77
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. 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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23e45e6e5ff2b1e0589a6a48f13cfee4
https://doi.org/10.1177/03611981211063199
https://doi.org/10.1177/03611981211063199
Publikováno v:
Journal of Intelligent Transportation Systems. 24:404-420
With the emergence of the internet of things, pathfinding problems have recently received a significant amount of attention. Various commercial applications provide automated routing by considering...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2402d575eb54e9d59fb00ff0da112a2
https://doi.org/10.1080/15472450.2019.1699077
https://doi.org/10.1080/15472450.2019.1699077
Publikováno v:
2020 IEEE Green Energy and Smart Systems Conference (IGESSC).
Traffic speed prediction is an ongoing challenge for researchers, transportation agencies, and navigation applications. Involving real-world speed data makes the prediction complex and dynamic. The stochastic nature of traffic makes predictions using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f7799c5fdd8f6572dcbf048ab9e8a5
https://doi.org/10.1109/igessc50231.2020.9285132
https://doi.org/10.1109/igessc50231.2020.9285132
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Autonomous vehicles (AVs) represent a new, growing segment of transportation research. While there have been prior studies and deployments of AVs worldwide, full autonomy in bus transit has gained interest among researchers and practitioners within t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa8be493e7928829a6068f4f83b2cbd
https://doaj.org/article/95332c2b7268495380404f3314294a77
https://doaj.org/article/95332c2b7268495380404f3314294a77
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad747e9c5b92caf49fb6156456418d53
https://doi.org/10.3390/informatics8010017
https://doi.org/10.3390/informatics8010017
Publikováno v:
Computers, Environment and Urban Systems. 83:101518
Obtaining accurate speed and travel time information is a challenge for researchers, geographers, and transportation agencies. In the past, traffic data were usually acquired and disseminated by government agencies through fixed-location sensors. Hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e06280cf28befab6ed5732725e5b18eb
https://doi.org/10.1016/j.compenvurbsys.2020.101518
https://doi.org/10.1016/j.compenvurbsys.2020.101518