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

作     者:MátéKolat Tamás Tettamanti TamásBécsi Domokos Esztergár-Kiss 

作者机构:Department of Control for Transportation and Vehicle SystemsFaculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary Systems and Control LaboratoryInstitute for Computer Science and Control of the Eötvös Lorand Research NetworkBudapest1053PestHungary Department of Transport Technology and EconomicsFaculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary 

出 版 物:《Communications in Transportation Research》 (交通研究通讯(英文))

年 卷 期:2023年第3卷第1期

页      面:150-160页

核心收录:

学科分类:08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基  金:the NRDI Fund by the National Research(2019-2.1.7-ERA-NET-2021-00019) Development and Innovation Office Hungary and the ERA-NET COFUND/EJP COFUND Programme with co-funding from the European Union Horizon 2020 research and innovation programme 

主  题:Road traffic estimation Google popular times(GPT) Point of interest(POI) POI occupancy Genetic algorithm(GA) 

摘      要:The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth,safe,and green ***,effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management *** contrast to classical traffic detection solutions,this study investigates the correlation between travelers social activities and road *** 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 *** 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 *** 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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