Comparison of Traffic Demand Generation Tools in SUMO: Case Study: Access Highways to Quito

IF 0.6 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc & Sensor Wireless Networks Pub Date : 2019-11-25 DOI:10.1145/3345860.3361521

L. Urquiza-Aguiar, William Coloma Gómez, Pablo Andrés Barbecho Bautista, Xavier Calderón

引用次数: 4

Abstract

SUMO is one of the tools used to generate synthetic traces of vehicles for VANET simulations. Sumo allows creating vehicles' routes manually, generate random traffic or use traffic demand generation tools. In this paper, a qualitative review of the five traffic demand generation tools of SUMO: DUArouter, JTRrouter, DFrouter, OD2trips and MArouter, is presented. We include the advantages and limitations of each of these tools to simulate vehicles' mobility in real scenarios. In addition, a comparative analysis of these tools is carried out over three access highways of Quito. Our results show that most of the tools provide similar trip times among them but lower than the real ones. However, the distribution of trip times differs among them.

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相扑中交通需求生成工具的比较:案例研究:通往基多的高速公路

SUMO是用于为VANET模拟生成车辆合成轨迹的工具之一。Sumo允许手动创建车辆路线，生成随机交通或使用交通需求生成工具。本文对SUMO的五种流量需求生成工具DUArouter、JTRrouter、DFrouter、OD2trips和MArouter进行了定性分析。我们包括了这些工具的优点和局限性，以模拟车辆在真实场景中的移动性。此外，还对基多的三条出入口公路进行了这些工具的比较分析。我们的研究结果表明，大多数工具提供了相似的行程时间，但低于实际的。然而，它们之间的行程时间分布不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ad Hoc & Sensor Wireless Networks 工程技术-电信学

CiteScore

2.00

自引率

44.40%

发文量

审稿时长

8 months

期刊介绍： Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.