Abstract
As one of the most effective intelligent transportation strategies, ramp metering is regularly discussed and applied all over the world. The classic ramp metering algorithm ALINEA dominates in practical applications due to its advantages in stabilizing traffic flow at a high throughput level. Although ALINEA chooses the traffic occupancy as the optimization parameter, the classic traffic flow variables (density, traffic volume, and travel speed) may be easier obtained and understood by operators in practice. This paper presents a density-based ramp metering model for multilane context (MDB-RM) on urban expressways. The field data of traffic flow parameters is collected in Chengdu, China. A dynamic density model for multilane condition is developed. An error function represented by multilane dynamic density is introduced to adjust the different usage between lanes. By minimizing the error function, the density of mainstream traffic can stabilize at the set value, while realizing the maximum decrease of on-ramp queues. Also, VISSIM Component Object Model of Application Programming Interface is used for comparison of the MDB-RM model with a noncontrol, ALINEA, and density-based model, respectively. The simulation results indicate that the MDB-RM model is capable of achieving a comprehensive optimal result from both sides of the mainstream and on-ramp.
Highlights
Building expressways or elevated expressways inside the city to relieve severe congestion and its related problems is a popular strategy in many metropolitan areas of the world
Through the use of traffic lights, local ramp metering corresponds to controlling the traffic flow merging into the mainstream from the on-ramp, so as to maximize the mainstream flow downstream of the on-ramp in response to prevailing traffic conditions [4, 5]
This paper focuses on modeling density-based ramp metering control for multilane expressways (MDB-RM) in urban areas
Summary
Building expressways or elevated expressways inside the city to relieve severe congestion and its related problems is a popular strategy in many metropolitan areas of the world. Through the use of traffic lights, local ramp metering corresponds to controlling the traffic flow merging into the mainstream from the on-ramp, so as to maximize the mainstream flow downstream of the on-ramp in response to prevailing traffic conditions [4, 5] Since it was first introduced on I-290 in Chicago in 1963, on-ramp metering has been implemented on major expressways in many big cities around the world. Mathematical Problems in Engineering metering and other traffic control strategies, such as variable speed limits and route guidance, so as to ameliorate traffic performance both in motorways and in urban roads. This paper focuses on modeling density-based ramp metering control for multilane expressways (MDB-RM) in urban areas. VISSIM 7 is chosen as the simulation platform running our proposed model and compared models
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