Conference proceeding
Dynamic Visualization Platform for Travel-Related Data Integration to Support Sustainability-Based Decision-Making for Smart Cities
2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET), pp 1-6
04 Dec 2023
Abstract
Smart cities seek to leverage data from advanced information, communication, and sensor technologies (ICSTs) for achieving their transportation-related sustainability goals. However, the multi-source, multi-timescale nature of these disparate data sets introduces many challenges to community decision-makers, hindering the use of these technologies in an efficient, effective, and holistic manner. Here, using statistical and machine learning methods, we present a visualization platform developed for the City of Peachtree Corners, GA, comprising nine integrated data sets. This platform can capture dynamic interactions between data from different sources and has the potential to support decision-makers in developing different solution options for contemporary transportation-related problems in a smart city environment.
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Details
- Title
- Dynamic Visualization Platform for Travel-Related Data Integration to Support Sustainability-Based Decision-Making for Smart Cities
- Creators
- Yufei Xu - Georgia Institute of TechnologyGulam Kibria - Georgia Institute of TechnologyChaojie Wang - Georgia Institute of TechnologyEinat Tenenboim - Georgia Institute of TechnologyViswa Sri Rupa Anne - Georgia Institute of TechnologyZhiwei Chen - Drexel UniversitySrinivas Peeta - Georgia Institute of Technology
- Publication Details
- 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET), pp 1-6
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Scopus ID
- 2-s2.0-85183326382
- Other Identifier
- 991021889914404721