On the relationship between the activity at point of interests and road traffic

IF 12.5 Q1 TRANSPORTATION Communications in Transportation Research Pub Date : 2023-10-29 DOI:10.1016/j.commtr.2023.100102
Máté Kolat , Tamás Tettamanti , Tamás Bécsi , Domokos Esztergár-Kiss
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Abstract

The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth, safe, and green transportation. Therefore, effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management concepts. In contrast to classical traffic detection solutions, this study investigates the correlation between travelers' social activities and road traffic. The s's primary goal is to investigate the presence of the relationship between social activity and road traffic, which might allow an infrastructure-independent traffic monitoring technique as well. People's general activities at Point of Interest (POI) locations (measured as occupancy parameter) are correlated with traffic data so that, finally, proper proxys can be defined for link-level average traffic speed estimation. The method is tested and evaluated using real-world traffic and POI occupancy data from Budapest (District XI.). The results of the correlation investigation justify an indirect relationship between activity at POIs and road traffic, which holds promise for future practical applicability.

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论兴趣点活动与道路交通的关系
道路交通的估计和分析是满足当前顺畅、安全、绿色交通需求的初步步骤。因此,有效的交通监控与可持续交通系统的规划和新的交通管理理念的发展是一个必不可少的话题。与传统的交通检测方法相比,本研究考察了出行者社会活动与道路交通的相关性。这项研究的主要目标是调查社会活动和道路交通之间的关系,这也可能使基础设施独立的交通监控技术成为可能。人们在兴趣点(POI)位置的一般活动(作为占用参数测量)与交通数据相关联,因此,最终可以定义适当的代理来估计链路级平均交通速度。相关调查的结果证明了在poi活动和道路交通之间的间接关系,这为未来的实际应用带来了希望。
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