Blending of Floating Car Data and Point-Based Sensor Data to Deduce Operating Speeds under Different Traffic Flow Conditions

Serrone, Giulia Del

doi:10.48295/et.2023.91.5

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…Vehicles’ identification in the free-moving and constrained conditions has been carried out by analyzing data collected through the Automatic Statistical Traffic Detection System of the Italian national road network manager, ANAS SpA [ 63 ]. The ANAS Road network currently has an automatic statistical traffic detection system with about 1200 counting sections.…”

Section: Materials: Characterization Of Vehicle Traffic Data By Radar...mentioning

confidence: 99%

Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification

Cantisani

Serrone

Mauro

et al. 2023

Sensors

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This paper focuses on the analysis of traffic streams on two-lane highways, which are crucial components of transportation networks. Traffic flow measurement technologies, such as detection stations, radar guns, or video cameras, have been used over the years to detect the level of traffic and the operating conditions. This type of sensor can record a large amount of data which is useful to evaluate and monitor road traffic conditions, and it is possible to identify free-moving and constrained vehicles by processing the collected data. This study introduces an exponential headway model to identify the headway threshold above which vehicles can be considered as unconditioned. However, this value could identify vehicles which still retain some autonomy in their speed and maneuvering. Therefore, an additional criterion to distinguish between apparently and actually conditioned vehicles has been introduced, analyzing the speed differences between a vehicle and the preceding one. Three-month sequences of traffic monitored through radar devices placed on some Italian two-lane roads have been analyzed and an exponential headway model has been introduced, as an illustrative example. The results show that introducing the criterion of maneuvering freedom can significantly improve traffic flow analysis, modifying the starting critical values of 4 and 8 s per each studied section, to 2.5 and 3 s, approaching the values suggested by international manuals for traffic flow quality analysis.

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Section: Materials: Characterization Of Vehicle Traffic Data By Radar...mentioning

confidence: 99%

Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification

Cantisani

Serrone

Mauro

et al. 2023

Sensors

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show abstract

“…In contrast to punctual and isolated measurements, continuous speed data are useful for creating and studying actual driver speed profiles, in relation to the behavior adopted in different territorial contexts [17,18].…”

Section: Introductionmentioning

confidence: 99%

Reliability of Historical Car Data for Operating Speed Analysis along Road Networks

Cantisani

Serrone

Peluso

2022

Sci

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In recent years, innovative progress in information and communication technology (ICT) has introduced new sources for traffic data collection and analysis. On-board sensors like GPS-GPRS boxes, generally installed for insurance purposes, communicate information from circulating vehicles to data centers. Geographic location, date and time, vehicles’ speed and direction, are systematically transmitted and stored as Historical Car Data (HCD) from probe vehicles in the traffic stream. These databases provide a good opportunity to analyze the vehicles’ motion both in the temporal and spatial domains. The aim of this study is to pay attention to the reliability of this kind of data gathering. Since instrumented vehicles account for a small percentage of the entire vehicle fleet, it is important to understand if they can be considered as a sample representative of the whole population. The paper presents a comparison of speed data obtained from HCD with the ones recorded by inductive-loop detectors and microwave radar sensors; the performed analysis required the definition of specific methodologies and procedures. The obtained results show a high correspondence between the two sets of data. Therefore, HCD can be proposed for the detailed monitoring of, and studies on, the operating conditions of mobility along road networks.

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Blending of Floating Car Data and Point-Based Sensor Data to Deduce Operating Speeds under Different Traffic Flow Conditions

Cited by 2 publications

References 31 publications

Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification

Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification

Reliability of Historical Car Data for Operating Speed Analysis along Road Networks

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