{"title":"Heuristics Based Cooperative Planning for Highway On-Ramp Merge","authors":"Ming-Chou Shen, Hanyang Hu, Bohua Sun, W. Deng","doi":"10.1109/ITSC.2018.8569341","DOIUrl":null,"url":null,"abstract":"On ramp merging scenario is critical to mobility and safety of highway traffic. The existing planning algorithms mainly focus on longitudinal motion coordination for collision avoidance. However, it has been shown that with lateral lane change in main lanes, the road capacity can be greatly enhanced. In this article, we propose an integrated framework for lane change decision making and longitudinal motion planning. Vehicles estimate the time they arrive merge region to guarantee collision avoidance, and optimal control based heuristics are calculated to make lane change decisions. To achieve better performance, we propose a cooperative decision making and planning algorithm. Numerical simulations show the efficiency of the proposed planning algorithm over simple sequential planning policy and scenarios without lane change.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2018.8569341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
On ramp merging scenario is critical to mobility and safety of highway traffic. The existing planning algorithms mainly focus on longitudinal motion coordination for collision avoidance. However, it has been shown that with lateral lane change in main lanes, the road capacity can be greatly enhanced. In this article, we propose an integrated framework for lane change decision making and longitudinal motion planning. Vehicles estimate the time they arrive merge region to guarantee collision avoidance, and optimal control based heuristics are calculated to make lane change decisions. To achieve better performance, we propose a cooperative decision making and planning algorithm. Numerical simulations show the efficiency of the proposed planning algorithm over simple sequential planning policy and scenarios without lane change.