Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2020

Abstract

Intelligent Intersections (roundabout and crossroads) management is considered as one of the challenges to significantly improve urban traffic efficiency. Recent researches in artificial intelligence suggest that autonomous vehicles have the possibility of forming intelligent intersection management, and likely to occupy the leading role in future urban traffic. If route planning method can be used for route decision of autonomous vehicle, the urban traffic efficiency can be further improved. In this paper, we propose an Intelligent Intersection Control Protocol (IICP) for controlling autonomous vehicles cross intersection, and recommend route for autonomous vehicles to reduce travel time and improve urban traffic efficiency. Firstly, we run IICP to obtain the original data, use SMOTE algorithm to synthesize balance data, and use RF, GBDT algorithms to predict delay time. Secondly, we use the iEigenAnt algorithm to find multiple short routes in traffic network. Finally, we recommend route for autonomous vehicles based on the minimum of driving time on the route and all delay time at each intersection to improve urban traffic efficiency.

Keywords

intersection management, autonomous vehicle, SMOTE algorithm, route planning

Discipline

Theory and Algorithms | Transportation

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE 2020, Pittsburgh, July 9-19

First Page

1

Last Page

6

Identifier

10.18293/SEKE2020-018

Publisher

SEKE

City or Country

Pittsburgh

Additional URL

https://doi.org/10.18293/SEKE2020-018

Download

Share

COinS