A New Method Based on Field Strength for Road Infrastructure Risk Assessment
Because road infrastructures have significant impact on driving safety, their risk levels need to be evaluated dynamically according to drivers’ perception. To achieve this, this paper proposes two field strength models to quantify the impact of road infrastructures on drivers. First, road infrastru...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/6379146 |
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| _version_ | 1832551715625238528 |
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| author | Yi Li Yuren Chen |
| author_facet | Yi Li Yuren Chen |
| author_sort | Yi Li |
| collection | DOAJ |
| description | Because road infrastructures have significant impact on driving safety, their risk levels need to be evaluated dynamically according to drivers’ perception. To achieve this, this paper proposes two field strength models to quantify the impact of road infrastructures on drivers. First, road infrastructures are classified into two types (continuous and discrete). Then, two field strength models for these types are proposed. Continuous field strength model describes the impact of long-belt-shape infrastructure by differential and integral methods. Discrete field strength model describes the static and dynamic characteristics of infrastructures. This model includes four parameters: mass of vehicles, mass of infrastructures, warning level, and kinetic energy of road infrastructures. The field strength is a relative concept, which changes with vehicle state. At the end of this paper, risk assessment principles are listed to clarify the nature of road infrastructure risk evaluation. A workflow of risk assessment and a case study are presented to illustrate the application of this novel method. The result of this study shows that ① the field strength is positively related to its risk level; ② the distribution of road infrastructure risks explains driver behaviour correctly; ③ drivers tend to keep driving in low-risk area. These findings help to explain the impact mechanism of road infrastructures on drivers, which can be applied in AI-based driving assistance system in the future. |
| format | Article |
| id | doaj-art-07659bcb3dc942ca83427dbcdb845e2f |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-07659bcb3dc942ca83427dbcdb845e2f2025-02-03T06:00:36ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/63791466379146A New Method Based on Field Strength for Road Infrastructure Risk AssessmentYi Li0Yuren Chen1The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, No. 4800 Cao’an Hwy., Shanghai 201804, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, No. 4800 Cao’an Hwy., Shanghai 201804, ChinaBecause road infrastructures have significant impact on driving safety, their risk levels need to be evaluated dynamically according to drivers’ perception. To achieve this, this paper proposes two field strength models to quantify the impact of road infrastructures on drivers. First, road infrastructures are classified into two types (continuous and discrete). Then, two field strength models for these types are proposed. Continuous field strength model describes the impact of long-belt-shape infrastructure by differential and integral methods. Discrete field strength model describes the static and dynamic characteristics of infrastructures. This model includes four parameters: mass of vehicles, mass of infrastructures, warning level, and kinetic energy of road infrastructures. The field strength is a relative concept, which changes with vehicle state. At the end of this paper, risk assessment principles are listed to clarify the nature of road infrastructure risk evaluation. A workflow of risk assessment and a case study are presented to illustrate the application of this novel method. The result of this study shows that ① the field strength is positively related to its risk level; ② the distribution of road infrastructure risks explains driver behaviour correctly; ③ drivers tend to keep driving in low-risk area. These findings help to explain the impact mechanism of road infrastructures on drivers, which can be applied in AI-based driving assistance system in the future.http://dx.doi.org/10.1155/2018/6379146 |
| spellingShingle | Yi Li Yuren Chen A New Method Based on Field Strength for Road Infrastructure Risk Assessment Journal of Advanced Transportation |
| title | A New Method Based on Field Strength for Road Infrastructure Risk Assessment |
| title_full | A New Method Based on Field Strength for Road Infrastructure Risk Assessment |
| title_fullStr | A New Method Based on Field Strength for Road Infrastructure Risk Assessment |
| title_full_unstemmed | A New Method Based on Field Strength for Road Infrastructure Risk Assessment |
| title_short | A New Method Based on Field Strength for Road Infrastructure Risk Assessment |
| title_sort | new method based on field strength for road infrastructure risk assessment |
| url | http://dx.doi.org/10.1155/2018/6379146 |
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