Abstract
Freeway is an important component of transportation system. Bottleneck areas on freeway reduce driving safety and traffic efficiency. The development of intelligent connected technology provides a new idea for traffic management. In order to alleviate traffic congestion on the freeway bottleneck area, this paper proposes a variable speed limit (VSL) control method in intelligent connected environment. In this paper, the METANET model is improved by combining intelligent connected environment and VSL control theory. The total traffic capacity (TTC), total travel time (TTT), and total speed difference (TSD) are used to build multiobjective function. The microsimulation at SUMO by using the data from PeMS is employed as a case study to validate the proposed model. The results show that the VSL online control method in intelligent connected environment has better control effect. And the improvement is more obvious with increasing penetration rate of intelligent connected vehicle (ICV).
Highlights
Due to the rapid growth of freeway transport volume and the influence of holiday travel peak, large-scale congestion of freeway has become an increasingly serious problem
Cao et al [4] analyzed the congestion distribution in various situations under variable speed limit (VSL) control and non-VSL control. e key of the VSL control is the analysis of the characteristics of traffic state. erefore, whether the traffic flow model is reasonable directly affects the application effect of the VSL control strategy
Kotsialos et al [11] used the second-order traffic flow METANET model as a core model, which had good expression characteristics for VSL control. ese experiment results showed that advanced models can effectively improve the traffic capacity of road congested sections, including SCTM-METANET [12], proactive VSL based on Dyna TAM-VSL [13], a variety of vehicles model [14], and predictive control based on the cell transmission model [15]
Summary
Due to the rapid growth of freeway transport volume and the influence of holiday travel peak, large-scale congestion of freeway has become an increasingly serious problem. Ese experiment results showed that advanced models can effectively improve the traffic capacity of road congested sections, including SCTM-METANET [12], proactive VSL based on Dyna TAM-VSL [13], a variety of vehicles model [14], and predictive control based on the cell transmission model [15]. E introduction of intelligent connected technology can optimize traffic flow, reduce total travel time on the road [19], optimize control distance and vehicle performance [20, 21], and decrease the vehicle delay and fuel consumption [22]. Yao et al [30] established a method for the stability of mixed traffic flow and obtained the fundamental diagram model under different penetration rates of CAVs. Many studies have applied VSL control to freeway management control system. Few studies discuss the adaptive improvement of freeway control methods according to the characteristics of intelligent connected technology. The microsimulation is used to verify the effectiveness of the proposed methodology
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