Determining Appropriate Lane-Changing Spacing for Off-Ramp Areas of Urban Expressways

Huang, Z. Rena; Zhang, Zihan; Li, Haijian; Qin, Lingqiao; Rong, Jian

doi:10.3390/su11072087

Cited by 20 publications

(13 citation statements)

References 27 publications

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“…In the diverging scenario a significant effort was invested to develop lanechanging strategies that minimize congestion and increase safety. Huang et al conducted a series of simulations [8] to investigate the cause of heavy congestions in two Beijing off-ramp areas. It was found that lane-spacings and the lane-changing spacings are the main factors that define traffic throughput, safety and efficacy.…”

Section: Vehicular Controlmentioning

confidence: 99%

Emerging cooperation on the road by myopic local interactions

Rabinovich¹,

Bruckstein²

2022

Preprint

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We study a combinatorial problem inspired by the following scenario: fully autonomous vehicles drive on a multi-lane (m ≥ 2) road. Each vehicle heads to its own destination and is allowed to exit the road only through a single designated off-ramp lane. However, an individual vehicle has a severely limited memory and sensing capabilities, and, moreover, does not communicate with its peers. In this work we present a distributed algorithm that, nonetheless, allows vehicles to get to the desired lane without collisions and in timely manner.

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Section: Vehicular Controlmentioning

confidence: 99%

Emerging cooperation on the road by myopic local interactions

Rabinovich¹,

Bruckstein²

2022

Preprint

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“…Hence, the complex traffic feature of multilane roadways, specifically the lane change behavior, may not be well captured when modeling them as a single-lane traffic stream [13,14]. It is also known that frequent LC events result in traffic flow instabilities as a result of the drop in capacity as well as the formation and propagation of stopand-go waves [15][16][17][18][19][20].…”

Section: Cell Transmission Model and Ctm Based Lane Change Modelmentioning

confidence: 99%

Development of Macroscopic Cell-Based Logistic Lane Change Prediction Model

Susilawati

Kamal

et al. 2021

Journal of Advanced Transportation

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This paper aims at developing a macroscopic cell-based lane change prediction model in a complex urban environment and integrating it into cell transmission model (CTM) to improve the accuracy of macroscopic traffic state estimation. To achieve these objectives, first, based on the observed traffic data, the binary logistic lane change model is developed to formulate the lane change occurrence. Second, the binary logistic lane change is integrated into CTM by refining CTM formulations on how the vehicles in the cell are moving from one cell to another in a longitudinal manner and how cell occupancy is updated after lane change occurrences. The performance of the proposed model is evaluated by comparing the simulated cell occupancy of the proposed model with cell occupancy of US-101 next generation simulation (NGSIM) data. The results indicated no significant difference between the mean of the cell occupancies of the proposed model and the mean of cell occupancies of actual data with a root-mean-square-error (RMSE) of 0.04. Similar results are found when the proposed model was further tested with I80 highway data. It is suggested that the mean of cell occupancies of I80 highway data was not different from the mean of cell occupancies of the proposed model with 0.074 RMSE (0.3 on average).

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“…e results demonstrated that the total throughput decreased slowly with the increase of the weaving ratio. Huang et al [29] studied the relationship between off-ramp lane-changing spacing and traffic congestions on urban expressways and tested the impact of different densities of traffic and off-ramp ratios on the congestion.…”

Section: Introductionmentioning

confidence: 99%

VISSIM-Based Simulation and Analysis of Upstream Segments in Ramp Areas for Optimizing Vehicle Group Lane-Changing Behaviors

Huang

Zou

et al. 2020

Journal of Advanced Transportation

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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.

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Determining Appropriate Lane-Changing Spacing for Off-Ramp Areas of Urban Expressways

Cited by 20 publications

References 27 publications

Emerging cooperation on the road by myopic local interactions

Emerging cooperation on the road by myopic local interactions

Development of Macroscopic Cell-Based Logistic Lane Change Prediction Model

VISSIM-Based Simulation and Analysis of Upstream Segments in Ramp Areas for Optimizing Vehicle Group Lane-Changing Behaviors

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