Measurement and analysis of heterogeneous road transport parameters using Smart Traffic Analyzer and SUMO Simulator:An experimental approach

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2024-11-14 DOI:10.1016/j.measurement.2024.116233

Santhiya Ravindran, Gurukarthik Babu Balachandran, Prince Winston David

引用次数: 0

Abstract

The main objective of research work is to study the characteristics of heterogeneous road transport environment & compare its dynamic parameters with the performance metrics measurement in terms of error rate & accuracy for vehicle count and classification using Smart Traffic Analyzer (STA) and SUMO Traffic Simulator. SUMO GUI is a simple tool for microscopic traffic simulation and helps to obtain vehicle dynamic parameters in the easiest way. Experimental research is also carried out by capturing live traffic video at study area of four way intersection road and analyzed through STA. The outcome results from SUMO and STA explicit overall accuracy of 96.63 %, and 95.62 % for vehicle count with the error rate of 3.35% & 4.37%. Similarly for vehicle classification, it provides the overall accuracy of 97.21% and 83.01% with the error rate of 2.78% & 16.97% respectively.

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使用智能交通分析仪和 SUMO 模拟器测量和分析异质道路交通参数：一种实验方法

研究工作的主要目的是研究异构道路交通环境的特征；比较其动态参数与使用智能交通分析仪（STA）和 SUMO 交通模拟器进行车辆计数和分类的误差率和准确率方面的性能指标测量。SUMO GUI 是一种用于微观交通模拟的简单工具，有助于以最简单的方式获取车辆动态参数。实验研究还通过捕捉四向交叉路口道路研究区域的实时交通视频，并通过 STA 进行分析。SUMO 和 STA 的结果表明，车辆计数的总体准确率分别为 96.63 % 和 95.62 %，误差率分别为 3.35% 和 4.37%。同样，车辆分类的总体准确率为 97.21% 和 83.01%，误差率分别为 2.78% 和 16.97%。

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

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.