Abstract
The traffic congestion in ramp areas is becoming increasingly prominent. In the upstream segments of ramp areas, effective management and control of lane-changing behaviors can improve the road capacity and make full use of the existing road resource. With the continuous development and application of connected vehicle technologies, lane-changing behaviors can be performed by vehicle groups. Under a connected vehicle environment, the lane-changing behaviors by vehicle groups are controlled in the upstream segment in a ramp area, and the lane-changing behaviors can be completed prior to entering the ramp area. Finally, lane-changing strategies are optimized and identified. VISSIM simulates these proposed strategies. This paper considers the delay as the output index for analyzing and comparing various strategies. The results demonstrate that the delays of different lane-changing strategies are also different. If the delays of ramp areas are to be substantially reduced, it is necessary to continuously optimize the lane-changing strategies by vehicle groups in the upstream segments. This optimization of lane-changing strategies will effectively regulate drivers’ lane-changing behaviors, improve road safety, and increase traffic capacity.
Highlights
Traffic congestion has been a common problem all over the world and must be solved urgently in recent years
With the application of advanced traffic control technologies and the progress of connected vehicle technologies, emerging technology has become one of the most effective ways of reducing traffic congestion in ramp areas. e main reason for the congestion in ramp areas is that the vehicles fail to change lanes in time. is causes the vehicles to change lanes only when they are close to the ramp area, which affects the normal operation of other vehicles
In a connected vehicle environment, it is necessary to conduct suitable modeling and analysis of ramp areas. erefore, this paper studies the behaviors of vehicle group lane-changing in the upstream sections of ramps. e simulation results are validated by VISSIM
Summary
Traffic congestion has been a common problem all over the world and must be solved urgently in recent years. In the ramp area upstream segment, based on the study of vehicle group lane-changing behaviors, this paper continuously optimizes the lane-changing strategies of vehicle groups. Effective optimization models of ramp areas are established for reducing traffic congestion. Ese lane-changing strategies by vehicle groups will reduce vehicle delays and increase the capacity in ramp areas. Li et al [21] used VISSIM to simulate six scenarios to obtain the optimal vehicle group lane-changing behaviors for upstream traffic flow in off-ramp areas. The research on-ramps modeling at home and abroad mainly was based on the specific traffic environment and lane-changing behaviors of independent vehicles. With the realization of connected vehicle technologies, the ramp traffic model can be based on the studies of the lane-changing behavior of vehicle groups. By leading and restricting the vehicle group lane-changing behaviors, the ramp capacities are improved
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