Driving aggressiveness management policy to enhance the performance of mixed traffic conditions in automated driving environments
• A novel traffic management strategy in automated driving environments is proposed. • A method to adjust the driving aggressiveness of automated vehicles (AV) is developed. • The proposed methodology is to maximize the performance of mixed traffic conditions. • VISSIM simulations are conducted to i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Seolyoung [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Effect of self-healing on water permeability and mechanical property of Medium-Early-Strength Engineered Cementitious Composites - Ma, Hui ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:121 ; year:2019 ; pages:136-146 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.tra.2019.01.010 |
|---|
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ELV045826552 |
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Driving aggressiveness management policy to enhance the performance of mixed traffic conditions in automated driving environments |
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• A novel traffic management strategy in automated driving environments is proposed. • A method to adjust the driving aggressiveness of automated vehicles (AV) is developed. • The proposed methodology is to maximize the performance of mixed traffic conditions. • VISSIM simulations are conducted to investigate the feasibility of the proposed methodology. |
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• A novel traffic management strategy in automated driving environments is proposed. • A method to adjust the driving aggressiveness of automated vehicles (AV) is developed. • The proposed methodology is to maximize the performance of mixed traffic conditions. • VISSIM simulations are conducted to investigate the feasibility of the proposed methodology. |
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• A novel traffic management strategy in automated driving environments is proposed. • A method to adjust the driving aggressiveness of automated vehicles (AV) is developed. • The proposed methodology is to maximize the performance of mixed traffic conditions. • VISSIM simulations are conducted to investigate the feasibility of the proposed methodology. |
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