Jamming transition of connected vehicles platform integrating speed change memory information to counteract cyber-attacks on slope lane

Under the connected environment, connected vehicles need to resist cyber-attacks such as tampered information in an open network of the traffic system. Additionally, slope lane is frequently seen in real traffic, which means that the gravitational action of the vehicles themselves cannot be ignored. Accordingly, a novel car-following model is constructed by aggregating the tampered speed difference (a type of cyber-attacks) with compensation and gravitational action on slope lane under connected vehicles environment (called for TSDCG model for simply). Moreover, we obtain the conditions for the traffic system to remain stable and the range of compensation parameters through cybernetics. Furthermore, numerical simulation is implemented for various intensities of the tampered speed difference. The results show that the tampered speed difference deteriorates the traffic system on both uphill and downhill. And on the contrary, the compensation can alleviate traffic congestion and effectively improve the stability of the traffic system when the connected vehicles are attacked by the tampered speed difference whether uphill or downhill. Also, the simulation results show that the compensation for the tampered speed difference can effectively reduce fuel consumption and pollutants emissions including CO, HC and NOx.