Review of Ramp Metering Methodologies for Urban Expressway

Gai, Songxue; Zeng, Xiaoqing; Wu, Chaoyang; Zhan, Jifei

doi:10.1007/978-981-13-7542-2_12

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…In 2010, Chen Xuewen proposed a single-point optimization control method for urban expressway ramps [47]. On this basis, the on-ramp single-point optimization control method, the exit-ramp control method, and the adjacent on-ramp linkage control method were studied in detail, and the proposed method was verified by VISSIM.…”

Section: Research Development Historymentioning

confidence: 99%

Intelligent Planning and Research on Urban Traffic Congestion

Zhu

Liu

et al. 2021

Future Internet

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For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.

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Section: Research Development Historymentioning

confidence: 99%

Intelligent Planning and Research on Urban Traffic Congestion

Zhu

Liu

et al. 2021

Future Internet

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“…Name q i on-ramp queue length of vehicles ρ i traffic density of cell i σ i external traffic demand of on-ramp i φ i traffic flow out of cell i φ N traffic flow out of sink cell N r i on-ramp flow entering cell i L i length of mainline i ω i congestion wave speed of cell i v i free flow speed of cell i β i the split ratio of cell i D i traffic demand of cell i S i traffic supply of cell i ρ max i maximum traffic density of cell i φ max i maximum traffic flow out of cell i metering, and coordinated ramp metering [4]. A well-known isolated ramp metering method is ALINEA [5], [6], which is a feedback controller and adjusts metering rate according to real-time traffic states (e.g., flow speed and traffic density of mainlines).…”

Section: Symbolmentioning

confidence: 99%

Distributed Urban Freeway Traffic Optimization Considering Congestion Propagation

Gao¹,

Yang²,

Chen³

et al. 2021

Preprint

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Effective traffic optimization strategies can improve the performance of transportation networks significantly. Most exiting works develop traffic optimization strategies depending on the local traffic states of congested road segments, where the congestion propagation is neglected. This paper proposes a novel distributed traffic optimization method for urban freeways considering the potential congested road segments, which are called potential-homogeneous-area. The proposed approach is based on the intuition that the evolution of congestion may affect the neighbor segments due to the mobility of traffic flow. We identify potential-homogeneous-area by applying our proposed temporal-spatial lambda-connectedness method using historical traffic data. Further, global dynamic capacity constraint of this area is integrated with cell transmission model (CTM) in the traffic optimization problem. To reduce computational complexity and improve scalability, we propose a fully distributed algorithm to solve the problem, which is based on the partial augmented Lagrangian and dual-consensus alternating direction method of multipliers (ADMM). By this means, distributed coordination of ramp metering and variable speed limit control is achieved. We prove that the proposed algorithm converges to the optimal solution so long as the traffic optimization objective is convex. The performance of the proposed method is evaluated by macroscopic simulation using real data of Shanghai, China.

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