The application and development of IOV(Internet of the vehicle) is the trend of the development of vehicle technology.While IOV has driven major advancement in vehicle performance and providing efficient and convenient services, it also brings potential information security risks to vehicles.In view of the problems that IOV brings, analysing the research status of its information security, we design the information security gateway(ISG) for electric vehicles.The ISG interconnects the controller area network(CAN) and the Ethernet, and migrates the IPSec protocol on IP layer.Aiming at the data in and out of CAN bus, it performs protocol conversion, data encrypt and decrypt, and data integrity check.It can prevent attackers from eavesdropping and tampering the communication information between electric vehicles and the outside world, as well as controlling the operation of these vehicles by infiltrating CAN bus.Experimental tests indicates that ISG ensures the information security of electric vehicles by providing data source authentication, data integrity and data confidentiality.

Clustering methods are analyzed in which Euclidean distance and network distance are used as a similarity measure respectively.The neighbor correlation between objects on a spatial network is discussed and a clustering algorithm is proposed for network objects with consideration of direction factors.The algorithm combines the two distances as the similarity measure of clustering by using the neighbor correlation.The analysis and experimental results indicate that the effectiveness of the proposed algorithm is better than those only using one measure.

Cell transmission model(CTM) was used to construct the traffic dynamics model of urban main road which contains a number of intersections.To optimize the traffic signal control,the rolling horizon method was used.The simulation results show effectiveness of the proposed method.