Vehicular Acceleration Advisory Algorithm Using V2V Communication in Highway Junction Point

Abstract

The highway junction point, where the ramp is merged with the mainstream, is the main traffic congestion point in the highway when handling transport demands. A vehicle driving on the ramp generally attempts to enter the highway without predicting the traffic condition, and commonly causes traffic congestion on highways. Traffic congestion in the highway junction is defined as the traffic situation that the transport demand in the conjunction point exceeds the bottleneck capacity and the accumulated demand remains to the bottleneck. Under traffic congestion, vehicles driving on the ramp cannot efficiently enter the highway. As a result, the waiting time of the vehicle on the ramp becomes long, and fuel consumption and CO2 emission increase due to the frequent acceleration and deceleration. In this paper, we propose a vehicular speed acceleration advisory algorithm for the vehicle on the ramp at the junction point. By recognizing the traffic condition on highways using V2V (Vehicle-to-Vehicle) communication, the proposed algorithm helps to reduce the frequent acceleration and deceleration by drivers. From the simulation results, compared to the conventional driving on the ramp, we show that the proposed algorithm can decrease fuel consumption, CO2 emission under various vehicle densities.