Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification
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 o...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/15/6922 |
| _version_ | 1827730842159415296 |
|---|---|
| author | Giuseppe Cantisani Giulia Del Serrone Raffaele Mauro Paolo Peluso Andrea Pompigna |
| author_facet | Giuseppe Cantisani Giulia Del Serrone Raffaele Mauro Paolo Peluso Andrea Pompigna |
| author_sort | Giuseppe Cantisani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T00:16:18Z |
| format | Article |
| id | doaj.art-3dc9aa259e614af28f6c50f3c68cc3b1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:16:18Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3dc9aa259e614af28f6c50f3c68cc3b12023-11-18T23:36:15ZengMDPI AGSensors1424-82202023-08-012315692210.3390/s23156922Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles IdentificationGiuseppe Cantisani0Giulia Del Serrone1Raffaele Mauro2Paolo Peluso3Andrea Pompigna4Department of Civil, Constructional and Environmental Engineering, University of Rome La Sapienza, Via Eudossiana 18, 00184 Rome, ItalyDepartment of Civil, Constructional and Environmental Engineering, University of Rome La Sapienza, Via Eudossiana 18, 00184 Rome, ItalyDepartment of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, ItalyDepartment of Civil, Constructional and Environmental Engineering, University of Rome La Sapienza, Via Eudossiana 18, 00184 Rome, ItalyDepartment of Civil, Constructional and Environmental Engineering, University of Rome La Sapienza, Via Eudossiana 18, 00184 Rome, ItalyThis 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.https://www.mdpi.com/1424-8220/23/15/6922traffic radar sensorstwo-lane roadsfree-moving and constrained vehiclesleader-follower influencesvehicle platoonsexponential headway model |
| spellingShingle | Giuseppe Cantisani Giulia Del Serrone Raffaele Mauro Paolo Peluso Andrea Pompigna Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification Sensors traffic radar sensors two-lane roads free-moving and constrained vehicles leader-follower influences vehicle platoons exponential headway model |
| title | Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification |
| title_full | Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification |
| title_fullStr | Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification |
| title_full_unstemmed | Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification |
| title_short | Traffic Stream Analysis by Radar Sensors on Two-Lane Roads for Free-Moving and Constrained Vehicles Identification |
| title_sort | traffic stream analysis by radar sensors on two lane roads for free moving and constrained vehicles identification |
| topic | traffic radar sensors two-lane roads free-moving and constrained vehicles leader-follower influences vehicle platoons exponential headway model |
| url | https://www.mdpi.com/1424-8220/23/15/6922 |
| work_keys_str_mv | AT giuseppecantisani trafficstreamanalysisbyradarsensorsontwolaneroadsforfreemovingandconstrainedvehiclesidentification AT giuliadelserrone trafficstreamanalysisbyradarsensorsontwolaneroadsforfreemovingandconstrainedvehiclesidentification AT raffaelemauro trafficstreamanalysisbyradarsensorsontwolaneroadsforfreemovingandconstrainedvehiclesidentification AT paolopeluso trafficstreamanalysisbyradarsensorsontwolaneroadsforfreemovingandconstrainedvehiclesidentification AT andreapompigna trafficstreamanalysisbyradarsensorsontwolaneroadsforfreemovingandconstrainedvehiclesidentification |