In a mixed traffic environment featuring connected automated vehicles (CAVs) and human-driven vehicles (HDVs), the reserved lanes for CAVs are regard as an improvement approach to traffic efficiency, and the conflicts between CAVs and HDVs can be reduced by this way. This paper investigates the traffic capacities under different road management strategies to seek a critical condition, on which the reserved lanes for CAVs generate positive effectiveness on traffic capacity. The estimation method of road capacity of CAVs reserved lane is proposed based on Markov chain. Then, three right-of-way allocation strategies are designed, and their traffic efficiency are quantitatively analyzed. The experimental results show that the CAVs reserved lane would have positive impact with the increase of CAV penetration rate. Besides, the traffic efficiency can be improved by setting a higher speed limit for a CAVs reserved lane and opening lane restriction for CAVs.

Connected Automated Vehicles; Mixed Traffic Conditions; CAV reserved lane; Road capacity