Details page | Paper / Information search system

Search

Search help

Summary & Details

An Advanced Cruise Control Like MPC Approach for Cooperative Vehicle Movement Planning

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20219055

Paper/Info type: Other International Conferences

Pages: 1-5(Total 5 p)

Date of publication: Sep 2021

Publisher: JSAE

Language: English

Detailed Information

Author(E)	1) Robert Ritschel, 2) Norman Schwarz, 3) Rick Voßwinkel
Affiliation(E)	1) IAV GmbH, 2) IAV GmbH, 3) IAV GmbH
Abstract(E)	Intelligent transportation systems that promise a high level of automation, have gained significant attention during the last years. Movement planning of such vehicles is one of the most critical issues to realize autonomous driving. The longitudinal guidance of such systems is a crucial part of automated driving functions, even in actual customer vehicles. Such that, very comfortable cruise control and adaptive cruise control (ACC) solutions are available. These classical ACC strategies reach their limits in complex cooperative scenarios, especially if we take comfort and safety into account. Such that, the usage of optimization-based control structures, namely model predictive control (MPC), became more and more relevant since it offers performant and comfortable guidance while considering limitations in actuators and states. The optimal solution is determined using a model-based prediction of the future motion. With that concrete plan in hand, we have sufficient information about the future vehicle motion. If a number of vehicles with MPC-based guidance is taken into account, we can use that information to design very performant cooperative adaptive cruise control (CACC) solutions, which especially benefits in pulk or platooning scenarios. Thus, we are introducing a communication-based CACC approach, which transmits not just the actual state of the vehicle, but also the planned future motion. This information helps to optimize the overall behavior and results in comfortable and safe driving even when using small time gaps between the individual vehicles. The approach is validated with real test drives using a pulk scenario.

About search

How to use the search box

You can enter up to 5 search conditions. The number of search boxes can be increased or decreased with the "+" and "-" buttons on the right.

If you enter multiple words separated by spaces in one search box, the data that "contains all" of the entered words will be searched (AND search).

Example) X (space) Y → "X and Y (including)"

How to use "AND" and "OR" pull-down

If "AND" is specified, the "contains both" data of the phrase entered in the previous and next search boxes will be searched. If you specify "OR", the data that "contains" any of the words entered in the search boxes before and after is searched.

Example) X AND Y → "X and Y (including)" X OR Z → "X or Z (including)"

If AND and OR searches are mixed, OR search has priority.

Example) X AND Y OR Z → X AND (Y OR Z)

If AND search and multiple OR search are mixed, OR search has priority.

Example) W AND X OR Y OR Z → W AND (X OR Y OR Z)

How to use the search filters

Use the "search filters" when you want to narrow down the search results, such as when there are too many search results. If you check each item, the search results will be narrowed down to only the data that includes that item.

The number in "()" after each item is the number of data that includes that item.

Search tips

When searching by author name, enter the first and last name separated by a space, such as "Taro Jidosha".