Abstract
A key information service of Internet of Vehicle (IOV) is route optimization. As an important basis, travel time prediction receives more attention. In order to achieve the effect of timely route optimization must be timely, reliable and highly accurate. Under IOV environment, traffic volume and density can be determined through information intercommunication between the vehicle and infrastructure. Travel time can be predicted by using artificial neural network (ANN) and support vector machine based on existing travel time and given traffic volume and density. The paper researches the travel time prediction model based on ANN and least square support vector machine under IOV environment, designs a simulation platform to conduct simulation with measured data, result shows that proposed least square support vector machine travel time prediction model has good performance.
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