In the near future, the OD information of vehicles will be known in real time under the Internet of Vehicles (IoV) environment. To reduce total travel time and bottleneck breakdown on the expressway during rush hours, a new strategy of coordinated ramp metering (CRM) based on real-time OD information is presented. In this study, real-time OD information of traffic flow is effectively used at the level of traffic control. Flow priorities are determined according to real-time OD information based on the quantitative hierarchical model (QHM) algorithm. The new algorithm is named as OD-QHM. It gives priority to the on-ramp with short total travel distance. Since the traffic flow in the expressway system influences each other, this paper demonstrates the effectiveness of the proposed control algorithm by simulation analysis. Simulation results indicate both the validity and the stability of OD-QHM algorithm are good. INDEX TERMS Internet of Vehicles, coordinated ramp metering, real-time OD information, quantitative hierarchical model, OD-QHM.
A new method has been developed for estimating the capacity of an exclusive left lane with a permitted phase under nonstrict priority. Different from maneuvers under strict priority, these left-turning vehicles were released in the form of a left-turn group. A field survey was first conducted to explore the maximum number of vehicles in a left-turn group, and the releasing process of the permitted left turns. e observations revealed that (1) the maximum number is related to the intersection geometry and (2) the releasing process includes two stages: the first left-turn group crossing at the beginning of a permitted phase and the following leftturn groups crossing using gaps provided by opposing right turns. Next, a method based on probability theory and these observation results were applied to estimate the capacity of an exclusive left lane. e procedure contains two stages and eight steps. Finally, the estimation of the left-turn capacity using the proposed model was validated by comparing the capacity from the strict priority and actual maximum volumes.
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