Abstract: Traffic jam assist (TJA) system is one kind of intelligent driving assistance system, which can provide vertical and horizontal assistance for drivers in the case of traffic jams, and pave the way for future advanced unmanned driving.Now, in view of the situation that the matching system model has followed the preceding vehicle through the intersection scenario, and the steering is corrected in a serpentine shape or a sharp direction due to recognition delay after the vehicle enters the lane, this paper starts from the three aspects of factor analysis, strategy optimization and real vehicle verification, to eliminate the occurrence of such problems in the matching process, improve the safety and reliability of subsequent matching system models, and provide a certain design basis for subsequent driverless solutions, which will have a certain impact on the improvement of model brand power.

Key words: Traffic jam assist system; Identification ability; Driverless; Serpentine correction; Strategy optimization

摘要： 交通拥堵辅助（TJA）系统属于智能驾驶辅助系统中的一种，其在交通阻塞的情况下可 为驾驶员提供纵向及横向辅助，同时为未来进阶无人驾驶作好前期铺垫。现针对匹配该系统 车型存在跟随前车过十字路口场景下，自车进入车道后因识别延迟造成转向出现蛇形修正或 者急打方向的情况，文章从要因分析、策略优化、实车验证这三个方面出发，杜绝匹配过程 中此类问题的发生，提高后续匹配该系统车型的安全性和可靠性，同时为后续无人驾驶解决 方案提供一定的设计基础，为车型品牌力的提升带来一定的影响。

关键词: 交通拥堵辅助系统；识别能力；无人驾驶；蛇形修正；策略优化