Driving Behavior and Decision Mechanisms in Emergency Conditions
In this article we used simulator experiments to explore the intelligent mechanisms of human decision-making. Three types of typical emergency scenarios were used in the experiment, in which Scenario 1 was used to analyze the driver’s choice to protect themselves or to protect pedestrians in emergen...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/13/4/62 |
| _version_ | 1797408908946440192 |
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| author | Ying Lyu Yiteng Sun Tianyao Zhang Debao Kong Zheng Lv Yujie Liu Zhenhai Gao |
| author_facet | Ying Lyu Yiteng Sun Tianyao Zhang Debao Kong Zheng Lv Yujie Liu Zhenhai Gao |
| author_sort | Ying Lyu |
| collection | DOAJ |
| description | In this article we used simulator experiments to explore the intelligent mechanisms of human decision-making. Three types of typical emergency scenarios were used in the experiment, in which Scenario 1 was used to analyze the driver’s choice to protect themselves or to protect pedestrians in emergency situations. Scenario 2 was compared with Scenario 1 to verify whether the driver’s avoidance behavior to protect pedestrians was instinctive or selective. Scenario 3 was to verify whether the driver would follow the principle of damage minimization. The driver’s decisions and actions in emergency situations, from the cumulative frequency of time to collision (TTC) to the maximum steering wheel angle rate during the experiments, were recorded. The results show that the driver was not just instinctively avoiding the immediate obstacle, but more selectively protecting pedestrians. At the same time, the time taken up by the driver’s instinctive avoidance response also had a negative impact on decision-making. The actual decisions of the driver were analyzed to provide a basis for building up the ethical decision-making of autonomous vehicles. |
| first_indexed | 2024-03-09T04:05:23Z |
| format | Article |
| id | doaj.art-4fcd68482ae94fbb843cb683bff1a7db |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T04:05:23Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-4fcd68482ae94fbb843cb683bff1a7db2023-12-03T14:06:49ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-04-011346210.3390/wevj13040062Driving Behavior and Decision Mechanisms in Emergency ConditionsYing Lyu0Yiteng Sun1Tianyao Zhang2Debao Kong3Zheng Lv4Yujie Liu5Zhenhai Gao6State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaState Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control, Changchun 130025, ChinaState Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control, Changchun 130025, ChinaState Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control, Changchun 130025, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, ChinaIn this article we used simulator experiments to explore the intelligent mechanisms of human decision-making. Three types of typical emergency scenarios were used in the experiment, in which Scenario 1 was used to analyze the driver’s choice to protect themselves or to protect pedestrians in emergency situations. Scenario 2 was compared with Scenario 1 to verify whether the driver’s avoidance behavior to protect pedestrians was instinctive or selective. Scenario 3 was to verify whether the driver would follow the principle of damage minimization. The driver’s decisions and actions in emergency situations, from the cumulative frequency of time to collision (TTC) to the maximum steering wheel angle rate during the experiments, were recorded. The results show that the driver was not just instinctively avoiding the immediate obstacle, but more selectively protecting pedestrians. At the same time, the time taken up by the driver’s instinctive avoidance response also had a negative impact on decision-making. The actual decisions of the driver were analyzed to provide a basis for building up the ethical decision-making of autonomous vehicles.https://www.mdpi.com/2032-6653/13/4/62driving behaviortime to collisionautonomous vehicledecision making |
| spellingShingle | Ying Lyu Yiteng Sun Tianyao Zhang Debao Kong Zheng Lv Yujie Liu Zhenhai Gao Driving Behavior and Decision Mechanisms in Emergency Conditions World Electric Vehicle Journal driving behavior time to collision autonomous vehicle decision making |
| title | Driving Behavior and Decision Mechanisms in Emergency Conditions |
| title_full | Driving Behavior and Decision Mechanisms in Emergency Conditions |
| title_fullStr | Driving Behavior and Decision Mechanisms in Emergency Conditions |
| title_full_unstemmed | Driving Behavior and Decision Mechanisms in Emergency Conditions |
| title_short | Driving Behavior and Decision Mechanisms in Emergency Conditions |
| title_sort | driving behavior and decision mechanisms in emergency conditions |
| topic | driving behavior time to collision autonomous vehicle decision making |
| url | https://www.mdpi.com/2032-6653/13/4/62 |
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