Zobrazeno 1 - 10
of 1 486
pro vyhledávání: '"ZHAO, Zhan"'
Autor:
Tang, Yihong, Qu, Ao, Wang, Zhaokai, Zhuang, Dingyi, Wu, Zhaofeng, Ma, Wei, Wang, Shenhao, Zheng, Yunhan, Zhao, Zhan, Zhao, Jinhua
Vision language models (VLMs) have demonstrated impressive performance across a wide range of downstream tasks. However, their proficiency in spatial reasoning remains limited, despite its crucial role in tasks involving navigation and interaction wi
Externí odkaz:
http://arxiv.org/abs/2410.16162
Autor:
Tang, Yihong, Wang, Zhaokai, Qu, Ao, Yan, Yihao, Wu, Zhaofeng, Zhuang, Dingyi, Kai, Jushi, Hou, Kebing, Guo, Xiaotong, Zhao, Jinhua, Zhao, Zhan, Ma, Wei
Citywalk, a recently popular form of urban travel, requires genuine personalization and understanding of fine-grained requests compared to traditional itinerary planning. In this paper, we introduce the novel task of Open-domain Urban Itinerary Plann
Externí odkaz:
http://arxiv.org/abs/2402.07204
Short-term route prediction on road networks allows us to anticipate the future trajectories of road users, enabling a plethora of intelligent transportation applications such as dynamic traffic control or personalized route recommendation. Despite r
Externí odkaz:
http://arxiv.org/abs/2310.03617
Bike sharing is emerging globally as an active, convenient, and sustainable mode of transportation. To plan successful bike-sharing systems (BSSs), many cities start from a small-scale pilot and gradually expand the system to cover more areas. For st
Externí odkaz:
http://arxiv.org/abs/2303.11977
Ridesharing is recognized as one of the key pathways to sustainable urban mobility. With the emergence of Transportation Network Companies (TNCs) such as Uber and Lyft, the ridesharing market has become increasingly fragmented in many cities around t
Externí odkaz:
http://arxiv.org/abs/2303.13520
Autor:
Liu, Sisi1 (AUTHOR) 2212116003@stmail.ujs.edu.cn, Zhao, Zhan1 (AUTHOR) zhaozhan@ujs.edu.cn, Wei, Jun1 (AUTHOR), Zhou, Qianqian1 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6948. 15p.
The node-place model has been widely used to classify and evaluate transit stations, which sheds light on individual travel behaviors and supports urban planning through effectively integrating land use and transportation development. This article ad
Externí odkaz:
http://arxiv.org/abs/2301.00117
For bike sharing systems, demand prediction is crucial to ensure the timely re-balancing of available bikes according to predicted demand. Existing methods for bike sharing demand prediction are mostly based on its own historical demand variation, es
Externí odkaz:
http://arxiv.org/abs/2211.08903
Human mobility prediction is a fundamental task essential for various applications, including urban planning, location-based services and intelligent transportation systems. Existing methods often ignore activity information crucial for reasoning hum
Externí odkaz:
http://arxiv.org/abs/2210.07765
Given its wide-ranging and long-lasting impacts, COVID-19, especially its spatial spreading dynamics has received much attention. Knowledge of such dynamics helps public health professionals and city managers devise and deploy efficient contact-traci
Externí odkaz:
http://arxiv.org/abs/2210.01005