TY - GEN
T1 - An Efficient Dynamic Multi-Sources to Single-Destination (DMS-SD) Algorithm in Smart City Navigation Using Adjacent Matrix
AU - Xiao, Ziren
AU - Xiao, Ruxin
AU - Liu, Chang
AU - Gao, Honghao
AU - Xu, Xiaolong
AU - Luo, Shan
AU - Wang, Xinheng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Dijkstra's algorithm is one of the most popular clas-sic path-planning algorithms, achieving optimal solutions across a wide range of challenging tasks. However, it only calculates the shortest distance from one vertex to another, which is hard to directly apply to the Dynamic Multi-Sources to Single-Destination (DMS-SD) problem. This paper proposes a modified Dijkstra algorithm to address the DMS-SD problem, where the destination can be dynamically changed. Our method deploys the concept of the Adjacent Matrix from Floyd's algorithm and achieves the goal with mathematical calculations. We formally show that all-pairs shortest distance information in Floyd's algorithm is not required in our algorithm. Extensive experiments verify the scalability and optimality of the proposed method.
AB - Dijkstra's algorithm is one of the most popular clas-sic path-planning algorithms, achieving optimal solutions across a wide range of challenging tasks. However, it only calculates the shortest distance from one vertex to another, which is hard to directly apply to the Dynamic Multi-Sources to Single-Destination (DMS-SD) problem. This paper proposes a modified Dijkstra algorithm to address the DMS-SD problem, where the destination can be dynamically changed. Our method deploys the concept of the Adjacent Matrix from Floyd's algorithm and achieves the goal with mathematical calculations. We formally show that all-pairs shortest distance information in Floyd's algorithm is not required in our algorithm. Extensive experiments verify the scalability and optimality of the proposed method.
KW - multiple sources path planning
UR - http://www.scopus.com/inward/record.url?scp=85146264677&partnerID=8YFLogxK
U2 - 10.1109/HCCS55241.2022.10090343
DO - 10.1109/HCCS55241.2022.10090343
M3 - Conference Proceeding
AN - SCOPUS:85146264677
T3 - Proceedings - 2022 International Conference on Human-Centered Cognitive Systems, HCCS 2022
BT - Proceedings - 2022 International Conference on Human-Centered Cognitive Systems, HCCS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Human-Centered Cognitive Systems, HCCS 2022
Y2 - 17 December 2022 through 18 December 2022
ER -
