CAJ | 학술논문

车辆全息环境下车路智能协调、车车智能协作，不仅能够规范车辆驾驶行为，并且更有利于改善路面交通状况。针对车辆协作跟车行为，研究首先将车辆行驶分为自由行驶阶段及车辆协作阶段，分别建立车辆跟车控制策略；以此为基础，研究车辆协作换道算法，建立兼顾车辆行车安全和道路利用率的车辆协作换道方法；利用C语言对交通仿真软件PARAMICS进行功能扩展，对上述研究成果进行仿真验证。结果表明：本文提出的车辆全息环境下的车辆行驶协作方法，有效提高道路运行效率，维持交通状况稳定，保障车辆行驶安全。
차량전식배경하차로지능협조、차차지능협작，불부능구규범차량가사행위，병차경유리우개선로면교통상황。침대차량협작근차행위，연구수선장차량행사분위자유행사계단급차량협작계단，분별건립차량근차공제책략；이차위기출，연구차량협작환도산법，건립겸고차량행차안전화도로이용솔적차량협작환도방법；이용C어언대교통방진연건PARAMICS진행공능확전，대상술연구성과진행방진험증。결과표명：본문제출적차량전식배경하적차량행사협작방법，유효제고도로운행효솔，유지교통상황은정，보장차량행사안전。
Based on the holographic transportation environment, driving behavior would be more rational and the road traffic condition can be improved by the vehicles Intelligent collaboration and vehicle-vehicle Intelligent collaboration. Firstly, we consider the car cooperation following behavior is considered a two-stages process. For car freedom driving stage and car cooperation driving stage , the car following control strategies are established, respectively. Then the algorithm of car cooperation change model is researched and the car cooperation change method is established, which take into account the road resource utilization rate and the safety of driving behavior. In PARAMICS,the microscopic simulate model of traffic road is established. the feasibility and effectiveness of the presented approach are verified with the PARAMICS simulating experiments .The results showed that the approach can effectively maintain the stabilization of traffic conditions , improve the efficiency of road running and ensure vehicle for safety driving.