TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques

被引：0

作者：

Osaba, Eneko ^{[1
]}

Lopez-Garcia, Pedro ^{[1
]}

Masegosa, Antonio D. ^{[2
]}

Onieva, Enrique ^{[1
]}

Landaluce, Hugo ^{[1
]}

Perallos, Asier ^{[1
]}

机构：

[1] Univ Deusto, Av Univ 24, Bilbao, Spain

[2] Univ Deusto, Ikerbasque, Av Univ 24, Bilbao, Spain

来源：

PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION) | 2016年

关键词：

TIMON; Traffic Prediction; GALE; Route Planning; Traveling Salesman Problem;

D O I：

10.1145/2908961.2931635

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

TIMON is an EU research project under the programme Horizon 2020 that aims at creating a cooperative ecosystem integrating traffic information, transport management, ubiquitous data and system self-management. The objective of TIMON is to provide real-time services through a web based platform and a mobile APP for drivers, Vulnerable Road Users (VRUs) and bussinesses. These services will contribute to increasing drivers and VRUs assistance. In this project, many of the services mentioned before are supported by a traffic state prediction system. For this reason, the objective of this study is to lay the groundwork for developing an efficient prediction tool. In this work, a preliminary study is shown, comparing the performance of three different evolutionary methods.

引用

页码：1471 / 1472

页数：2

共 4 条

[1] Another look at measures of forecast accuracy [J].