Solution to Shortest Path Problem Using a Connective Probe Machine

Joint Authors

Dong, Huanhe
Fang, Yong
Kong, Yuan
Sun, Jiuyun

Source

Mathematical Problems in Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-11-07

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

With the continuous urban scale expansion, traffic networks have become extremely complex.

Finding an optimal route in the shortest time has become a difficult and important issue in traffic engineering study.

In this study, a novel computing model, namely, probe machine, is used to solve this problem.

Similar to previous studies, urban transport networks can be abstracted into maps, in which points representing places of origin, destinations, and other buildings constitute the data library and edges representing the road make up the probe library.

The true solution can be obtained after one probe operation on the computing platform.

And by comparing the solving process with Dijkstra’s and Floyd’s algorithms, the computing efficiency of the probe machine is clearly superior, although all three methods can solve the shortest path problem and obtain the same solution.

American Psychological Association (APA)

Sun, Jiuyun& Dong, Huanhe& Kong, Yuan& Fang, Yong. 2019. Solution to Shortest Path Problem Using a Connective Probe Machine. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1197818

Modern Language Association (MLA)

Sun, Jiuyun…[et al.]. Solution to Shortest Path Problem Using a Connective Probe Machine. Mathematical Problems in Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1197818

American Medical Association (AMA)

Sun, Jiuyun& Dong, Huanhe& Kong, Yuan& Fang, Yong. Solution to Shortest Path Problem Using a Connective Probe Machine. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1197818

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197818