Anticipative and adaptive extension of cell transmission model based on intelligent transportation system information
基于智能交通信息的预期与适应性元胞传输模型

The anticipative and adaptive capabilities of drivers can be improved by using intelligent transportation system(ITS) information on the microscopic level, while the vehicle platoon reflects macroscopic properties of anticipation and adaptation. This article incorporates the expected density/speed function and the accommodation coefficients of anticipation and adaptation with cell transmission model(CTM) to makes up the insufficient ITS information. The linear stability analysis and convergence simulation show that the proposed anticipation reduces the delay in reaction from drivers; while the adaptation increases the stability of the vehicle platoon. Different combination of coefficients depicts different degrees of anticipative and adaptive behaviors, thus changing the equilibrium curve and convergence rate. ITS information improves drive-safety and reduces traffic congestion.