Zobrazeno 1 - 10
of 1 307
pro vyhledávání: '"real-time traffic"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The urban logistics delivery planning problems are a crucial component of urban spatial decision analysis. Most studies typically focus on traditional urban logistics delivery planning problems and ignore real-time traffic information. With the advan
Externí odkaz:
https://doaj.org/article/3af95b513ed44e6181fe320060e7faba
Autor:
Li, Tao a, 1, Bian, Zilin b, ⁎, 1, Lei, Haozhe a, Zuo, Fan b, Yang, Ya-Ting a, Zhu, Quanyan a, Li, Zhenning c, Ozbay, Kaan b
Publikováno v:
In Transportation Research Part C October 2024 167
Autor:
Chawla, Priyanka, Hasurkar, Rutuja, Bogadi, Chaithanya Reddy, Korlapati, Naga Sindhu, Rajendran, Rajasree, Ravichandran, Sindu, Tolem, Sai Chaitanya, Gao, Jerry Zeyu
Publikováno v:
World Journal of Engineering, 2022, Vol. 21, Issue 1, pp. 140-155.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-07-2021-0428
Publikováno v:
Case Studies in Thermal Engineering, Vol 59, Iss , Pp 104503- (2024)
Failure to obtain timely fire services will lead to thermal runaway phenomenon, which will seriously threaten the lives of people and property safety. In this study, a dynamic method was proposed to estimate fire service accessibility based on real-t
Externí odkaz:
https://doaj.org/article/c9e557e1b16f41afa0b03e0c04d91dfa
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena May 2024 182
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 351 (2024)
Traffic anomaly detection is crucial for urban management, yet current research is often confined to small-scale endeavors. This study collected 9 months of real-time Wuhan traffic-monitoring data from Amap. We propose Traffic-ConvLSTM, a multi-scale
Externí odkaz:
https://doaj.org/article/8d0e327fdba64117bae81814dcce0f18
Publikováno v:
Sensors, Vol 24, Iss 16, p 5162 (2024)
This study develops a vision-based technique for enhancing taillight recognition in autonomous vehicles, aimed at improving real-time decision making by analyzing the driving behaviors of vehicles ahead. The approach utilizes a convolutional 3D neura
Externí odkaz:
https://doaj.org/article/d5161dd4a03149048da018e2a83edef6
Publikováno v:
In Transportation Research Part C March 2024 160
Publikováno v:
European Transport Research Review, Vol 15, Iss 1, Pp 1-17 (2023)
Abstract Railway operations are highly susceptible to delays and disruptions caused by various factors, such as technical issues, operational inefficiencies, and unforeseen events. To counter these delays and ensure efficient railway operations durin
Externí odkaz:
https://doaj.org/article/47b7784fd492440fbe8b915e89bbbf75
Publikováno v:
In Knowledge-Based Systems 20 December 2023 282