Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation
Scenario-based testing is already a well-known test approach to the automotive industry for the Validation, Verification and Testing of Connected and Automated Vehicles. How to construct the scenarios of complex traffic environment is a major challenge to this method. A common approach for generatin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9129787/ |
| _version_ | 1818665290999791616 |
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| author | Bingjian Yue Shuming Shi Shuo Wang Nan Lin |
| author_facet | Bingjian Yue Shuming Shi Shuo Wang Nan Lin |
| author_sort | Bingjian Yue |
| collection | DOAJ |
| description | Scenario-based testing is already a well-known test approach to the automotive industry for the Validation, Verification and Testing of Connected and Automated Vehicles. How to construct the scenarios of complex traffic environment is a major challenge to this method. A common approach for generating scenarios is collecting and post-processing natural traffic data with a lot of time and money costs. In order to reduce the cost of scenario collection, we propose a low-cost method based on Microscopic Traffic Simulation to obtain a large number of urban traffic scenarios. Based on public data, we establish a microscopic traffic model for a specific area within the Shenzhen urban. Through a simulation, the 24-hour traffic behavior of vehicles for this area is simulated. About 189,752 scenarios covering the entire travel process are generated, which is equivalent to the data collected by a well-equipped car traveling 254,480 kms or 8,288 h. Our scenarios include not only typical urban scenarios such as U-turn and Parallel-driving (two vehicles driving in parallel on a single lane), but also collision accident scenarios of various forms. In addition, in order to evaluate the risks faced by Connected and Automated Vehicles in different scenarios, we design a new criticality metric, Scenario Risk Index, based on the risk assessment principle. The Scenario Risk Index has nothing to do with a certain function, and can quantitatively comprehensively evaluate the criticality and loss of potential accidents. |
| first_indexed | 2024-12-17T05:46:18Z |
| format | Article |
| id | doaj.art-4bb56bc4a29d4b64a452a4b1d3ab9ae6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:46:18Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4bb56bc4a29d4b64a452a4b1d3ab9ae62022-12-21T22:01:18ZengIEEEIEEE Access2169-35362020-01-01812339812340710.1109/ACCESS.2020.30060739129787Low-Cost Urban Test Scenario Generation Using Microscopic Traffic SimulationBingjian Yue0https://orcid.org/0000-0003-1877-2167Shuming Shi1https://orcid.org/0000-0001-7018-0682Shuo Wang2Nan Lin3https://orcid.org/0000-0002-8331-6988Transportation College, Jilin University, Changchun, ChinaTransportation College, Jilin University, Changchun, ChinaTransportation College, Jilin University, Changchun, ChinaTransportation College, Jilin University, Changchun, ChinaScenario-based testing is already a well-known test approach to the automotive industry for the Validation, Verification and Testing of Connected and Automated Vehicles. How to construct the scenarios of complex traffic environment is a major challenge to this method. A common approach for generating scenarios is collecting and post-processing natural traffic data with a lot of time and money costs. In order to reduce the cost of scenario collection, we propose a low-cost method based on Microscopic Traffic Simulation to obtain a large number of urban traffic scenarios. Based on public data, we establish a microscopic traffic model for a specific area within the Shenzhen urban. Through a simulation, the 24-hour traffic behavior of vehicles for this area is simulated. About 189,752 scenarios covering the entire travel process are generated, which is equivalent to the data collected by a well-equipped car traveling 254,480 kms or 8,288 h. Our scenarios include not only typical urban scenarios such as U-turn and Parallel-driving (two vehicles driving in parallel on a single lane), but also collision accident scenarios of various forms. In addition, in order to evaluate the risks faced by Connected and Automated Vehicles in different scenarios, we design a new criticality metric, Scenario Risk Index, based on the risk assessment principle. The Scenario Risk Index has nothing to do with a certain function, and can quantitatively comprehensively evaluate the criticality and loss of potential accidents.https://ieeexplore.ieee.org/document/9129787/Test scenariomicroscopic traffic simulationtraffic conflict techniquerisk assessment |
| spellingShingle | Bingjian Yue Shuming Shi Shuo Wang Nan Lin Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation IEEE Access Test scenario microscopic traffic simulation traffic conflict technique risk assessment |
| title | Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation |
| title_full | Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation |
| title_fullStr | Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation |
| title_full_unstemmed | Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation |
| title_short | Low-Cost Urban Test Scenario Generation Using Microscopic Traffic Simulation |
| title_sort | low cost urban test scenario generation using microscopic traffic simulation |
| topic | Test scenario microscopic traffic simulation traffic conflict technique risk assessment |
| url | https://ieeexplore.ieee.org/document/9129787/ |
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