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We compare our proposed models with the existing Shift Model, which is represented by Equation 23.
RGS + Model-shift: A proactive RGS that generates route guidance based on traffic prediction using the existing Shift Model.
The results demonstrated that both models significantly reduce prediction error up to 52%and30%0% in the best cases compared to the existing Shift Model.
Compared to the existing Shift Model, both of the proposed models can further reduce up to 14% of the average travel time in the best cases.
Simulation results confirmed that the proactive route guidance helps greatly reduce average travel time by up to 70% compared to the reactive ones, and the proposed traffic prediction models can further reduce average travel time by up to 14% in comparison with the existing Shift Model.
Evaluation results show that (1) both of the proposed models reduce the prediction error up to 52%and30%0% in the best cases compared to the existing Shift Model, (2) providing proactive route guidance helps reduce average travel time by up to 70% compared to providing reactive one and (3) non-rerouted vehicles could benefit more from route guidance than rerouted vehicles do.
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