To boost the operational efficiency of parallel flow intersections and further eliminate the conflict between left-turn non-motor and straight-through motor vehicles

a control strategy for non-motor vehicle crossing was proposed and then integrated with motor vehicle crossing and pedestrian crossing into a unified optimization model. Considering the constraints such as signal phase sequence

green light timing

cycle length

capacity of the waiting area for leftk-turn non-motor vehicles

clearance time of non-motor vehicles

and lane balance

the linear programming optimization model was constructed so as to maximize traffic capacity. Results show that two-step street crossing and optimization design could both solve the crossing problem of left-turn non-motor vehicles

which are effective alternative design schemes for non-motor vehicle crossing at parallel flow intersections. Compared with conventional design

the two-step street crossing reduced the motor vehicle delay by 35.02% and 55.52% respectively in high and low traffic flow scenarios

while the optimization design reduced it by 42.71% and 65.60% respectively. The two-step street crossing caused a significant increase in left-turn non-motor vehicle delays

so it is not applicable when the flow of left-turn non-motor vehicles is high. The maximum motor vehicle traffic volume of conventional design was most affected by the flow of left-turn non-motor and straight-through motor vehicles. It indicates that avoiding the conflicts between left-turn non-motor vehicles and straight-through vehicles plays a significant role in improving the traffic capacity at intersections

which can be helpful for promoting the development of green travel.