http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Peng_et_al_2020cPeng et al 2020c - Revision history2026-05-11T07:43:00ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Peng_et_al_2020c&diff=213765&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 287011534 to Peng et al 2020c2021-02-15T09:18:19Z<p>Scipediacontent moved page <a href="/public/Draft_Content_287011534" class="mw-redirect" title="Draft Content 287011534">Draft Content 287011534</a> to <a href="/public/Peng_et_al_2020c" title="Peng et al 2020c">Peng et al 2020c</a></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<tr style='vertical-align: top;' lang='en'>
<td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 09:18, 15 February 2021</td>
</tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div>
</td></tr></table>Scipediacontenthttp://www.colloquiam.com/wd/index.php?title=Peng_et_al_2020c&diff=213764&oldid=prevScipediacontent: Created page with " == Abstract == In this study, we propose an adaptive path planning model and tracking control method for collision avoidance and lane-changing manoeuvres on highways in rain..."2021-02-15T09:18:16Z<p>Created page with " == Abstract == In this study, we propose an adaptive path planning model and tracking control method for collision avoidance and lane-changing manoeuvres on highways in rain..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
<br />
In this study, we propose an adaptive path planning model and tracking control method for collision avoidance and lane-changing manoeuvres on highways in rainy weather. Considering the human-vehicle-road interaction, we developed an adaptive lane change system that consists of an intelligent trajectory planning and tracking controller. Gaussian distribution was introduced to evaluate the impact of rain on the pavement characteristics and deduce adaptive lane-change trajectories. Subsequently, a score-based decision mechanism and multilevel autonomous driving mode that considers safety, comfort, and efficiency were proposed. A tracking controller was designed using a linearised model predictive control method. Finally, using simulated scenarios, the feasibility and effectiveness of the proposed method were demonstrated. The results obtained herein are a valuable resource that can be used to develop an intelligent lane change system for autonomous vehicles and can help improve highway traffic safety and efficiency in adverse weather conditions.<br />
<br />
Document type: Article<br />
<br />
== Full document ==<br />
<pdf>Media:Draft_Content_287011534-beopen699-4344-document.pdf</pdf><br />
<br />
<br />
== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://dx.doi.org/10.1155/2020/8838878 http://dx.doi.org/10.1155/2020/8838878] under the license https://creativecommons.org/licenses/by/4.0/<br />
<br />
* [http://downloads.hindawi.com/journals/jat/2020/8838878.pdf http://downloads.hindawi.com/journals/jat/2020/8838878.pdf],<br />
: [http://downloads.hindawi.com/journals/jat/2020/8838878.xml http://downloads.hindawi.com/journals/jat/2020/8838878.xml],<br />
: [http://dx.doi.org/10.1155/2020/8838878 http://dx.doi.org/10.1155/2020/8838878]<br />
<br />
under the license https://creativecommons.org/licenses/by/4.0/</div>Scipediacontent