Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jiping Xing"'
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4472-4494 (2024)
Metro transit is the core of urban transportation, and the mobility analysis of metro ridership can contribute to enhance the overall service level of the metro transit. Researchers studying metro ridership are focused on the spatiotemporal distribut
Externí odkaz:
https://doaj.org/article/a601fa9b067a464f939252edeadc5f76
Publikováno v:
Electronic Research Archive, Vol 31, Iss 1, Pp 207-228 (2023)
Real-time and accurate network-wide traffic volume estimation/detection is an essential part of urban transport system planning and management. As it is impractical to install detectors on every road segment of the city network, methods on the networ
Externí odkaz:
https://doaj.org/article/7364e1579b39490886178e0414ad4fd1
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4075 (2023)
Intelligent transportation systems need to realize accurate traffic congestion prediction. The spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our study proposes a data-driven model to predict the traffic con
Externí odkaz:
https://doaj.org/article/f4efe70174cd4f0d8890f37ad8b319d2
Publikováno v:
Electronic Research Archive, Vol 30, Iss 11, Pp 3993-1014 (2022)
A discrete network design problem (DNDP) is conventionally formulated as an analytical bi-level programming problem to acquire an optimal network design strategy for an existing traffic network. In recent years, multimodal network design problems hav
Externí odkaz:
https://doaj.org/article/d6ff0109a9134f18beaa5efd25b7a32e
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2019 (2019)
This paper studies the distance-based congestion pricing in a network considering the day-to-day dynamic traffic flow evolution process. It is well known that, after an implementation or adjustment of a new congestion toll scheme, the network environ
Externí odkaz:
https://doaj.org/article/f7b253eb5cfd4690930f0be9695853fe
Autor:
Qi Zhang, Yunyang Shi, Ruyang Yin, Hong Tao, Zhihong Xu, Zihan Wang, Siyuan Chen, Jiping Xing
Publikováno v:
Journal of Transportation Engineering, Part A: Systems. 149
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a36ca04a5d4a4513b58c1ce1b8adbb
https://doi.org/10.1061/jtepbs.teeng-7729
https://doi.org/10.1061/jtepbs.teeng-7729
Publikováno v:
Transportmetrica A: Transport Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a7372dbc06dd2c3d2aa03275e419ecf
https://doi.org/10.1080/23249935.2023.2197511
https://doi.org/10.1080/23249935.2023.2197511
Autor:
Jiping Xing
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ad9b5a2ae5744ab392ad3278dad7ab
https://doi.org/10.1109/itsc55140.2022.9922445
https://doi.org/10.1109/itsc55140.2022.9922445
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 21; Pages: 14420
Red-light violations of pedestrians crossing at signal intersections is one of the key factors in pedestrian traffic accidents. Even though there are various studies on pedestrian behavior and pedestrian traffic conflicts, few focus on the risk of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ade815233d4df17b7c89c9ce865ae0e
https://pubmed.ncbi.nlm.nih.gov/36361298
https://pubmed.ncbi.nlm.nih.gov/36361298
A multi-stage stochastic optimization approach to the stop-skipping and bus lane reservation schemes
Publikováno v:
Transportmetrica A: Transport Science. 17:1272-1304
The bus stop-skipping scheme is designed to reduce the number of stops and increase bus operating speed. But in a mixed traffic environment, buses can hardly maintain a high and stable operating sp...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3f3c0c66b20e6ab45c4abd760183582
https://doi.org/10.1080/23249935.2020.1858206
https://doi.org/10.1080/23249935.2020.1858206