利用时空神经点过程预测城市信号控制交叉口拥堵事件

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-07-30 DOI:10.1080/17538947.2024.2376270

Jianlong Wang, Xiaoqi Duan, Peixiao Wang, A.-Gen Qiu, Zeqiang Chen

引用次数: 0

摘要

城市交通信号控制交叉口对于解决城市道路拥堵问题具有重要意义。以往关于拥堵预测的研究主要是对交通信号灯控制交叉口的数据进行汇总，并对其进行分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predicting urban signal-controlled intersection congestion events using spatio-temporal neural point process

The urban traffic signal-controlled intersections are of great significance for solving the problem of urban road congestion. Previous research on congestion prediction mainly aggregated data at th...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.