Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis

被引:3
作者
Song, Hunsoo [1 ]
Carpenter, Joshua [1 ]
Froehlich, Jon E. [2 ]
Jung, Jinha [1 ]
机构
[1] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA
[2] Univ Washington, Allen Sch Comp Sci, Seattle, WA 98195 USA
来源
PROCEEDINGS OF THE 1ST ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON SUSTAINABLE MOBILITY, SUMOB 2023 | 2021年
关键词
Pathway Accessibility; Inclusive Navigation; Sustainable Mobility; Spatial Connectedness; Airborne Point Clouds; UAV; LiDAR; EXTRACTION;
D O I
10.1145/3615899.3627929
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We introduce the "Accessible Area Mapper," a novel system designed to map accessible pathways using airborne point clouds. By harnessing the 3D terrain information from these point clouds, our system delineates physically navigable areas that are customized to suit individual mobility requirements. This allows for a comprehensive understanding of pathways suitable for active mobility methods, like walking and bicycling. In addition, it can also identify accessible routes for individuals with disabilities, thereby promoting sustainable urban mobility as a whole. While it's currently in early stages, our work marks a transformative step towards reshaping 3D urban pathway mapping, making strides towards a more sustainable and inclusive transport ecosystem. We demonstrate our system's preliminary capabilities and discuss its potential.
引用
收藏
页码:1 / 4
页数:4
相关论文
共 18 条
[1]   Walkability and Its Relationships With Health, Sustainability, and Livability: Elements of Physical Environment and Evaluation Frameworks [J].
Baobeid, Abdulla ;
Koc, Muammer ;
Al-Ghamdi, Sami G. .
FRONTIERS IN BUILT ENVIRONMENT, 2021, 7
[2]   AccessMap Website Demonstration: Individualized, Accessible Pedestrian Trip Planning at Scale [J].
Bolten, Nicholas ;
Caspi, Anat .
ASSETS'19: THE 21ST INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY, 2019, :676-678
[3]   Automatic Generation of Urban Road 3D Models for Pedestrian Studies from LiDAR Data [J].
Fernandez-Arango, David ;
Varela-Garcia, Francisco-Alberto ;
Gonzalez-Aguilera, Diego ;
Laguela-Lopez, Susana .
REMOTE SENSING, 2022, 14 (05)
[4]   User-Specific Route Planning for People with Motor Disabilities: A Fuzzy Approach [J].
Gharebaghi, Amin ;
Mostafavi, Mir-Abolfazl ;
Edwards, Geoffrey ;
Fougeyrollas, Patrick .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (02)
[5]   Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery [J].
Hosseini, Maryam ;
Sevtsuk, Andres ;
Miranda, Fabio ;
Cesar Jr, Roberto M. ;
Silva, Claudio T. .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2023, 101
[6]   A network-level sidewalk inventory method using mobile LiDAR and deep learning [J].
Hou, Qing ;
Ai, Chengbo .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 119
[7]   Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization [J].
Hui, Zhenyang ;
Hu, Youjian ;
Jin, Shuanggen ;
Yevenyo, Yao Ziggah .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 118 :22-36
[8]   Pedestrian network map generation approaches and recommendation [J].
Karimi, Hassan A. ;
Kasemsuppakorn, Piyawan .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2013, 27 (05) :947-962
[9]   Personalised routing for wheelchair navigation [J].
Kasemsuppakorn, Piyawan ;
Karimi, Hassan A. .
JOURNAL OF LOCATION BASED SERVICES, 2009, 3 (01) :24-54
[10]   Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet plus plus and Two-Step Post-Processing [J].
Ma, Haichi ;
Ma, Hongchao ;
Zhang, Liang ;
Liu, Ke ;
Luo, Wenjun .
REMOTE SENSING, 2022, 14 (03)