Driving simulator (DS) can be introduced as a popular tool in the transport industry for the analysis of driving behavior. Simulators should be validated in term of each specific recorded data, separately. When DSs are the source of data, each part of data which indicates a maneuver or a behavior should be validated separately. This paper is dedicated to the validation of car-following distance in the presence of considerable traffic flow which may increase mental load. In general, the results showed that DSs could be used for determining the behaviors of a driver by focusing on headway and car-following behavior. The distance kept by male drivers was shorter than female participants. It was seen that drivers between the ages of 20–40 were suitable for car-following tests in the DS by considering all real driving tasks in a congested traffic condition. Car-following threshold headway was less than 2 s for 85% of the participants, which is quite similar to the past results from real data in Iran. The average car-following headway threshold in the DS was 0.8 s, which is less than field data (1.2 s).

可以将驾驶模拟器（DS）引入交通行业，作为分析驾驶行为的流行工具。应该根据每个特定的记录数据分别对模拟器进行验证。当DS是数据源时，指示操作或行为的数据的每个部分都应分别进行验证。本文致力于在交通流量很大的情况下验证跟车距离，这可能会增加心理负担。通常，结果表明，DS可以通过关注车速和跟车行为来确定驾驶员的行为。男性驾驶员保持的距离比女性参与者短。可以看出，通过考虑交通拥挤情况下的所有实际驾驶任务，年龄在20至40岁之间的驾驶员适合在DS中进行跟车测试。对于85％的参与者来说，跟进汽车的门槛进展小于2秒，这与伊朗过去真实数据的结果非常相似。DS中的平均跟车行驶阈值是0.8 s，小于现场数据（1.2 s）。