Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents
A constantly increasing number of deaths on roads forces analysts to search for models that predict the driver’s propensity for road traffic accidents (RTAs). This paper aims to examine a relationship between the speed and space assessment capabilities of drivers in terms of their association with t...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/8/9/1548 |
| _version_ | 1797554127061909504 |
|---|---|
| author | Marjana Čubranić-Dobrodolac Libor Švadlenka Svetlana Čičević Aleksandar Trifunović Momčilo Dobrodolac |
| author_facet | Marjana Čubranić-Dobrodolac Libor Švadlenka Svetlana Čičević Aleksandar Trifunović Momčilo Dobrodolac |
| author_sort | Marjana Čubranić-Dobrodolac |
| collection | DOAJ |
| description | A constantly increasing number of deaths on roads forces analysts to search for models that predict the driver’s propensity for road traffic accidents (RTAs). This paper aims to examine a relationship between the speed and space assessment capabilities of drivers in terms of their association with the occurrence of RTAs. The method used for this purpose is based on the implementation of the interval Type-2 Fuzzy Inference System (T2FIS). The inputs to the first T2FIS relate to the speed assessment capabilities of drivers. These capabilities were measured in the experiment with 178 young drivers, with test speeds of 30, 50, and 70 km/h. The participants assessed the aforementioned speed values from four different observation positions in the driving simulator. On the other hand, the inputs of the second T2FIS are space assessment capabilities. The same group of drivers took two types of space assessment tests—2D and 3D. The third considered T2FIS sublimates of all previously mentioned inputs in one model. The output in all three T2FIS structures is the number of RTAs experienced by a driver. By testing three proposed T2FISs on the empirical data, the result of the research indicates that the space assessment characteristics better explain participation in RTAs compared to the speed assessment capabilities. The results obtained are further confirmed by implementing a multiple regression analysis. |
| first_indexed | 2024-03-10T16:26:22Z |
| format | Article |
| id | doaj.art-5783585f65894e1195e24a274250d5de |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T16:26:22Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-5783585f65894e1195e24a274250d5de2023-11-20T13:10:21ZengMDPI AGMathematics2227-73902020-09-0189154810.3390/math8091548Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic AccidentsMarjana Čubranić-Dobrodolac0Libor Švadlenka1Svetlana Čičević2Aleksandar Trifunović3Momčilo Dobrodolac4Faculty of Transport Engineering, University of Pardubice, Studentská 95, 532 10 Pardubice, Czech RepublicFaculty of Transport Engineering, University of Pardubice, Studentská 95, 532 10 Pardubice, Czech RepublicFaculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, SerbiaFaculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, SerbiaFaculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, SerbiaA constantly increasing number of deaths on roads forces analysts to search for models that predict the driver’s propensity for road traffic accidents (RTAs). This paper aims to examine a relationship between the speed and space assessment capabilities of drivers in terms of their association with the occurrence of RTAs. The method used for this purpose is based on the implementation of the interval Type-2 Fuzzy Inference System (T2FIS). The inputs to the first T2FIS relate to the speed assessment capabilities of drivers. These capabilities were measured in the experiment with 178 young drivers, with test speeds of 30, 50, and 70 km/h. The participants assessed the aforementioned speed values from four different observation positions in the driving simulator. On the other hand, the inputs of the second T2FIS are space assessment capabilities. The same group of drivers took two types of space assessment tests—2D and 3D. The third considered T2FIS sublimates of all previously mentioned inputs in one model. The output in all three T2FIS structures is the number of RTAs experienced by a driver. By testing three proposed T2FISs on the empirical data, the result of the research indicates that the space assessment characteristics better explain participation in RTAs compared to the speed assessment capabilities. The results obtained are further confirmed by implementing a multiple regression analysis.https://www.mdpi.com/2227-7390/8/9/1548type-2 fuzzy inference systemstraffic simulatortraffic accidentsroad safetyspace perceptionspeed perception |
| spellingShingle | Marjana Čubranić-Dobrodolac Libor Švadlenka Svetlana Čičević Aleksandar Trifunović Momčilo Dobrodolac Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents Mathematics type-2 fuzzy inference systems traffic simulator traffic accidents road safety space perception speed perception |
| title | Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents |
| title_full | Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents |
| title_fullStr | Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents |
| title_full_unstemmed | Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents |
| title_short | Using the Interval Type-2 Fuzzy Inference Systems to Compare the Impact of Speed and Space Perception on the Occurrence of Road Traffic Accidents |
| title_sort | using the interval type 2 fuzzy inference systems to compare the impact of speed and space perception on the occurrence of road traffic accidents |
| topic | type-2 fuzzy inference systems traffic simulator traffic accidents road safety space perception speed perception |
| url | https://www.mdpi.com/2227-7390/8/9/1548 |
| work_keys_str_mv | AT marjanacubranicdobrodolac usingtheintervaltype2fuzzyinferencesystemstocomparetheimpactofspeedandspaceperceptionontheoccurrenceofroadtrafficaccidents AT liborsvadlenka usingtheintervaltype2fuzzyinferencesystemstocomparetheimpactofspeedandspaceperceptionontheoccurrenceofroadtrafficaccidents AT svetlanacicevic usingtheintervaltype2fuzzyinferencesystemstocomparetheimpactofspeedandspaceperceptionontheoccurrenceofroadtrafficaccidents AT aleksandartrifunovic usingtheintervaltype2fuzzyinferencesystemstocomparetheimpactofspeedandspaceperceptionontheoccurrenceofroadtrafficaccidents AT momcilodobrodolac usingtheintervaltype2fuzzyinferencesystemstocomparetheimpactofspeedandspaceperceptionontheoccurrenceofroadtrafficaccidents |