Automatic generation of indoor road network model for route planning under different regional attributes

Zhengliang Zhu; Weiwang Chen

doi:10.1117/12.2657851

22 December 2022 Automatic generation of indoor road network model for route planning under different regional attributes

Zhengliang Zhu, Weiwang Chen

Author Affiliations +

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124602Q (2022) https://doi.org/10.1117/12.2657851
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

As a part of Smart City, modeling the road network for indoor route planning has become a research hotspot in recent years. This paper presents an automatic extraction method of modeling for indoor route planning. At the very beginning, an optimized Constrained Delaunay Triangulation (CDT) was used to form indoor spatial routes, on the ArcGIS, ArcEngine and Microsoft Visual Studio 2012 (VS 2012) platforms. The optimization of CDT was achieved by increasing the constraint points at the edge of the region, resulting in a more refined division of the region. After the spatial routes connect with connection points, the indoor route planning model of the road network then was formed, implemented the Dijkstra algorithm to get the planned route. Finally, to further evaluate the optimized CDT. The CDT before and after optimization is used to automatically generate the road network model of a plane floor of the building, to provide an intuitive comparison. The results proved the effectiveness of the optimization method.

Citation Download Citation

Zhengliang Zhu and Weiwang Chen "Automatic generation of indoor road network model for route planning under different regional attributes", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124602Q (22 December 2022); https://doi.org/10.1117/12.2657851

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available