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对优化速度模型(OVM)、广义力模型(GFM)、全速差模型(FVDM)3种相关跟驰模型的复杂性与适应性进行了研究.采用美国Ⅰ-80高速公路附近30层高楼上所拍摄数字图像,并提取车辆轨迹数据,通过3种不同的标定方式对跟驰模型进行了参数标定,进而从总体、驾驶员间异质性、驾驶员自身异质性3个方面对模型复杂性与应用性进行了对比分析.研究结果表明,OVM,GFM,FVDM三种模型的应用性和复杂度并不具有一致性,复杂度高的模型在模拟跟驰的应用性上并不一定优于简单模型.研究结果为跟驰行为的建模研究提供了有效信息.
The complexity and adaptability of the following three models of optimized speed model (OVM), generalized force model (GFM) and full speed difference model (FVDM) were studied.Using the 30-storey high-rise near the I-80 Freeway The digital images were taken and vehicle trajectory data were extracted. The car model was calibrated with three different calibration methods. Then the model complexity was analyzed from three aspects: overall, heterogeneity among drivers and heterogeneity of the driver The results show that the applicability and complexity of the three models of OVM, GFM and FVDM are not consistent, and the complexity of the model is not necessarily superior to the analogy of the following applications Simple model.The research results provide effective information for the modeling research of following behavior.