Stochastic Two-Dimensional Microscopic Traffic Model Theory and Applications /
Microscopic traffic model serves as the foundation of traffic flow theory and is the basis for applications such as traffic simulation, autonomous vehicle simulation, and digital twin technology. Conventional traffic models have primarily focused on the longitudinal dimension and have been determini...
保存先:
| 第一著者: | |
|---|---|
| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| 版: | 1st ed. 2024. |
| シリーズ: | Lecture Notes in Intelligent Transportation and Infrastructure,
|
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-97-3597-6 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
目次:
- Noise reduction filtering and behavioral estimation for human driven vehicles
- Predictability analysis of driving behavior
- Two dimensional stochastic microscopic traffic model for human driven vehicles
- Two dimensional driving behavioral model considering vehicle dynamics
- Stochastic two dimensional microscopic driving model for intelligent vehicles
- Risky driving behavior with two dimensional jerk and wandering
- Capacity adjustment factor considering lateral influence for multi lane road
- Real time estimation of driving behaviors
- Stochastic lateral wandering of progressive autonomous vehicles flow
- Test scenario generation for autonomous vehicles considering the predictability.