Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Hairuo Xie"'
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 9:1-34
Spatial simulations have been widely used to study real-world environments, such as transportation systems. Applications like prediction and analysis of transportation require the simulation to handle millions of objects while running faster than rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc144a41d11e9949f88115b7f3d9533
https://doi.org/10.1145/3578933
https://doi.org/10.1145/3578933
Publikováno v:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::828615d74b97564a2512cd642f000ac9
https://doi.org/10.1145/3557915.3561018
https://doi.org/10.1145/3557915.3561018
Publikováno v:
Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7498b91c417322eadabb7adcd35a7b39
https://doi.org/10.1145/3557991.3567781
https://doi.org/10.1145/3557991.3567781
Autor:
Hairuo Xie, Renata Borovica-Gajic, Egemen Tanin, Shanika Karunasekera, Udesh Gunarathna, Gilbert Oppy, Majid Sarvi
Publikováno v:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::250c6cab81e6512d5eb67e2da92b46b8
https://doi.org/10.1145/3557915.3560988
https://doi.org/10.1145/3557915.3560988
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Aug2023, Vol. 14 Issue 4, p1-30, 30p
Publikováno v:
GeoInformatica.
With the increasing connectedness of vehicles, real-time spatio-temporal data can be collected from citywide road networks. Innovative data management solutions can process the collected data for the purpose of reducing travel time. However, a majori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8392629442a083640f291cf3fd7b4ffa
https://doi.org/10.1007/s10707-022-00473-2
https://doi.org/10.1007/s10707-022-00473-2
Publikováno v:
GeoInformatica. 25:99-125
A common cause of traffic congestions is the concentration of intersecting vehicle routes. It can be difficult to reduce the intersecting routes in existing traffic systems where the routes are decided independently from vehicle to vehicle. The devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c6995a2459bfe125588033fc2834342
https://doi.org/10.1007/s10707-020-00420-z
https://doi.org/10.1007/s10707-020-00420-z
Publikováno v:
SIGSPATIAL/GIS
COVID-19 has brought about substantial social, economic and health related burdens, motivating different control measures from policy makers worldwide. Contact tracing plays a pivotal role in the COVID-19 era. However, contact tracing is by nature en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e79c047f76c2463fbb2fb130b1c9416
https://doi.org/10.1145/3474717.3484206
https://doi.org/10.1145/3474717.3484206
Publikováno v:
SSTD
Traffic forecasting plays a vital role in traffic management systems. Recently, deep learning models have been applied to citywide traffic forecasting. However, the existing work models and predicts traffic at a single (dense) resolution, making it c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138a7618b24ddd7fa76090c000cd64ab
https://doi.org/10.1145/3469830.3470904
https://doi.org/10.1145/3469830.3470904
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)
ECML/PKDD (4)
Changing lane configuration of roads, based on traffic patterns, is a proven solution for improving traffic throughput. Traditional lane-direction configuration solutions assume pre-known traffic patterns, hence are not suitable for real-world applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35a54e167acaefa89ffba67e1dcff658
https://doi.org/10.1007/978-3-030-67667-4_18
https://doi.org/10.1007/978-3-030-67667-4_18
