A METAHEURISTICS BASED SIMULATION TOOL TO OPTIMIZE DEMAND RESPONSIVE TRANSPORTATION SYSTEMS

被引：0

作者：

Osaba, Eneko ^{[1
]}

Fernandez, Pablo ^{[1
]}

Carballedo, Roberto ^{[2
]}

Perallos, Asier ^{[2
]}

机构：

[1] Deusto Technol Ctr, Mobil Unit, Ave Univ 24, Bilbao, Spain

[2] Univ Deusto, Dept Software Engn, Bilbao, Spain

来源：

ICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 2 | 2011年

关键词：

Demand simulation tool; Intelligent transport; Demand responsive transport; Evolutionary computing; ALGORITHMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Public passenger transport is an important area that affects our quality of life. The design of routes and frequencies of such systems is very important to ensure their economic viability. The work presented in this paper focuses on the design of a software tool that assists in the creation of routes and schedules of passenger transport systems. For this, we have developed an application that is based on evolutionary computing techniques to simulate passenger demand and adjust the routes and frequency of the services to meet those demands. The result of work done is a software tool, and a metaheuristic algorithm that can be used for solving optimization problems.

引用

下载

页码：384 / 389

页数：6

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