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Vehicle trajectory generation for optimal driving guidance

Li Li, / Fei-Yue Wang,

This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.

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Vehicle trajectory generation for optimal driving guidance

Li Li, / Fei-Yue Wang,

This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.

Vehicle trajectory generation for optimal driving guidance

Li Li, / Fei-Yue Wang,

This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.

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Order at Subito €

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Document information

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Document information

Title:

Vehicle trajectory generation for optimal driving guidance

Contributors:

Li Li, (author) / Fei-Yue Wang, (author)

Published in:

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems ; 231-235

Publication date:

2002-01-01

Size:

332283 byte

ISBN:

DOI:

https://doi.org/10.1109/ITSC.2002.1041220

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

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