An integrated control method based on the priority of ways in a freeway network

Ma, Minghui; Liang, Shidong

doi:10.1177/0142331216668393

Cited by 6 publications

(10 citation statements)

References 23 publications

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“…We design a series of numerical analysis to study the changes of total travel time obtained from the coordinated control (CC) proposed in this paper and independent control (IC) in previous researches, see [ 11 , 24 ], in two cases: with bottlenecks or merging regions. It is assumed that there are two paths in the freeway network with the same length 10 km.…”

Section: Application Resultsmentioning

confidence: 99%

“…Building the upper-level programming model, we consider the problem of the network traffic balance and the traffic flow distribution of the freeway network. In the lower-level programming model, we adopt the VSL control method proposed by Ma et al [ 11 , 24 ] to solve the traffic congestion in path l i . Therefore, the primary goal of the lower-level programming model is to ensure the optimization of traffic volume and the travel time in path.…”

Section: Bi-level Programming Formulation Of the Freeway Networkmentioning

confidence: 99%

“…In contrast, Abdel-Aty and Wang [ 7 ], Yang et al [ 8 ], and Yang and Hegyi [ 9 ] mainly focused on the prevention of freeway traffic flow breakdown and maximization of traffic flow. To apply the VSL control strategies in the mainline area without considering the influence of traffic outflows from on-ramp, this approach cannot effectively solve the traffic congestion problem in merging region during peak periods[ 10 , 11 ]. The congestion may transfer to the upstream mainline and the related freeway network, if the VSL control or/and ramp metering in the problem path is applied alone during peak periods.…”

Section: Introductionmentioning

confidence: 99%

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An optimization approach for freeway network coordinated traffic control and route guidance

Liang

2018

PLoS ONE

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Traffic congestion in freeway network is a prevalent transportation problem and leads to a strong degradation of freeway network facilities. This paper proposes a new coordinated optimization approach for freeway network, aiming to relieve the traffic congestion in freeway network equipped with the coordinated traffic controllers. The challenge is how to solve the problem between the traffic control goals of each path and those of the network. In this paper, the bi-level programming theory is used to address this problem. More exactly, in the path level, the optimal control model is designed to relieve congestion in each path of the test network. Furthermore, in the network level, the optimal model considers the traffic equilibrium and cost optimization. The efficiency of the proposed approach is tested on a well-known traffic network calibrated by the field test data of freeway network. The results show that the proposed approach has positive effects in balancing traffic load and improving the service level of freeway networks.

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Section: Application Resultsmentioning

confidence: 99%

Section: Bi-level Programming Formulation Of the Freeway Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An optimization approach for freeway network coordinated traffic control and route guidance

Liang

2018

PLoS ONE

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“…The nearer the distance is, the greater weight assigned. The common weight assignment methods include the (1) equal weights method (all candidates are given the same weight), (2) inverse distance weight method [45] (a type of deterministic method used in this paper to assign the weight values based on the neighborhood locations), and (3) rank-based weights method (the weight is given by the rank of the candidates classified by the distance from the subject profile). The inverse distance and rank-based weighting methods are better than the equal distance weighting method for identifying similar traffic patterns [46].…”

Section: Weight Assignmentmentioning

confidence: 99%

“…For intelligent transportation systems (ITS), traffic data is important for successfully maintaining the utility of the each module [1][2][3]. Traffic data can reflect traffic conditions, but in different manners and provide various information for traffic management, planning, and decision-making [4].…”

Section: Introductionmentioning

confidence: 99%

A Bidirectional Searching Strategy to Improve Data Quality Based on K-Nearest Neighbor Approach

Liang

Qin

2019

Symmetry

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Traffic data are the basis of traffic control, planning, management, and other implementations. Incomplete traffic data that are not conducive to all aspects of transport research and related activities can have adverse effects such as traffic status identification error and poor control performance. For intelligent transportation systems, the data recovery strategy has become increasingly important since the application of the traffic system relies on the traffic data quality. In this study, a bidirectional k-nearest neighbor searching strategy was constructed for effectively detecting and recovering abnormal data considering the symmetric time network and the correlation of the traffic data in time dimension. Moreover, the state vector of the proposed bidirectional searching strategy was designed based the bidirectional retrieval for enhancing the accuracy. In addition, the proposed bidirectional searching strategy shows significantly more accuracy compared to those of the previous methods.Symmetry 2019, 11, 815 2 of 18 and model parameter selection can be shown. In Section 4, basic KNN approach will be introduced. In Section 5, a novel bidirectional data recovery approach is proposed, and the parameter setting process is presented. Section 6 discusses the experimental design and the results. Section 7 concludes the paper with a summary of bidirectional searching strategy and gives the suggestions for future work. Literature ReviewSeveral works focusing on recovering the abnormal data response to the data quality control strategy. These studies examine the effect of abnormal data and research the data recovery approach based on the historical aiming to improve data quality. Pushkar et al. [17] applied the catastrophe theory to establish the three-parameter sudden change surface of traffic flow to recover data and then proposed the speed estimation method. A nearest-neighbor imputation algorithm was developed and applied to interpolate the missing data based on the average value of historical data at the same time interval [18]. In addition, the factor approach estimated the missing data by using the mean value of the key factors selected from the historical set [19]. Troyanskaya et al. [20] investigated automated methods for estimating missing data to minimize the effect of incomplete data sets on analyses. Smith et al. [21] performed a preliminary analysis of several heuristic and statistical imputation techniques and declared the statistical techniques are more accurate. Chen et al. [22] proposed a linear regression algorithm to impute missing or bad traffic flow data and occupancy data using neighboring sensors data. Abdella et al. [23] proposed an integrated method combining the genetic algorithms with neural networks aiming at seeking the approximating missing data in a database. Tang et al.[24] developed a hybrid approach integrating Fuzzy C-Means-based (FCM) imputation method with a genetic algorithm (GA) to estimate the missing traffic volume data based on inductance loop sensor outputs. This approach ...

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Dynamic Control Cycle Speed Limit Strategy for Improving Traffic Operation at Freeway Bottlenecks

Zhang

Liang

2020

KSCE J Civ Eng

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An integrated control method based on the priority of ways in a freeway network

Cited by 6 publications

References 23 publications

An optimization approach for freeway network coordinated traffic control and route guidance

An optimization approach for freeway network coordinated traffic control and route guidance

A Bidirectional Searching Strategy to Improve Data Quality Based on K-Nearest Neighbor Approach

Dynamic Control Cycle Speed Limit Strategy for Improving Traffic Operation at Freeway Bottlenecks

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