Time‐of‐day breakpoints optimisation through recursive time series partitioning

Ma, Dongfang; Li, Wenjing; Song, Xiang; Wang, Yinhai; Zhang, Wei-Bin

doi:10.1049/iet-its.2018.5162

Cited by 9 publications

(5 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most effective approaches recognized in the literature consist in Advanced Traffic Control Strategies (Dresner & Stone, 2008;Ma et al, 2019;Wang et al, 2020;Yao et al, 2020;Yuan et al, 2019). Relevant methods are based on dynamic control through the application of traffic-responsive strategies activated by real-time flows/arrival detection; they include SCOOT, SCATS, PRODYN, RHODES, OPAC, TUC and GLADI (Dinopoulou et al, 2000;Farges et al, 1994;Gartner et al, 2001;Mirchandani & Wang, 2005;Robertson & Bretherton, 1991;Sims & Dobinson, 1980).…”

Section: Background and Motivationmentioning

confidence: 99%

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

Storani

Pace

Schutter

2022

Journal of Intelligent Transportation Systems

View full text Add to dashboard Cite

The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the framework is based on a hybrid traffic flow model operating as a prediction model and plant model in the control procedure. The hybrid traffic flow model combines two sub-models: an aggregate model (i.e., the Cell Transmission Model; CTM) and a disaggregate model (i.e., the Cellular Automata model; CA), using a transition cell to connect them. The whole framework is tested on a signalized arterial, performing several analyses to calibrate the MPC strategy and evaluate the traffic control approach using fixed and adaptive control strategies. All analyses are made in terms of total time spent, network total delay, queue lengths and degree of saturation.

show abstract

Section: Background and Motivationmentioning

confidence: 99%

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

Storani

Pace

Schutter

2022

Journal of Intelligent Transportation Systems

View full text Add to dashboard Cite

show abstract

“…Thus, the multi-period fixed scheme is often adopted in practice. Ma et al [6] and Shen et al [7] used a clustering approach to divide a day into multiple periods where different reversible schemes are conducted in different periods of the same day, but the same reversible lane scheme is applied to the same periods across different days. Zhao et al [8] and Wu et al [9] used this technique to concurrently determine signal timing parameters and lane settings in the unit of periods.…”

Section: Introductionmentioning

confidence: 99%

“…Ma et al. [6] and Shen et al. [7] used a clustering approach to divide a day into multiple periods where different reversible schemes are conducted in different periods of the same day, but the same reversible lane scheme is applied to the same periods across different days.…”

Section: Introductionmentioning

confidence: 99%

A two‐stage robust optimal traffic signal control with reversible lane for isolated intersections

Sun,

Wang,

et al. 2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

The integrated design of traffic signal control (TSC) and reversible lane (RL) is an effective way to solve the problem of tidal congestion with uncertainty at isolated intersections, because of its advantage in making full use of temporal‐spatial transportation facilities. Considering the contradiction between the dynamic TSC scheme and the fixed RL scheme in one period, a two‐stage optimization method based on improved mean‐standard deviation (MSD) model for isolated intersections with historical and real‐time uncertain traffic flow is proposed. In the first stage, applying the same‐period historical data of multiple days, a robust optimal traffic signal control model with reversible lane based on MSD model (MSD‐RTR model) is put forward to obtain the fixed RL scheme and the compatible initial TSC scheme. A double‐layer nested genetic algorithm (DN‐GA) is designed to solve this model. In the second stage, applying real‐time period data and multi‐day same‐period historical data, a robust optimal dynamic traffic signal control model based on MSD model (MSD‐RDT model) is put forward to obtain the dynamic TSC scheme. Three modes which reflect the different weights of historical period and real‐time period in this MSD‐RDT model are presented to improve the model stability, and a multi‐mode genetic algorithm (MM‐GA) is designed. Finally, a case study is presented to demonstrate the efficiency and applicability of the proposed models and algorithms.

show abstract

“…An improved K-means clustering method was used to divide the daytime partitions. Ma et al determined the optimal time partition breakpoint through the optimization process [25,26]. However, these studies have generally focused on isolated intersections rather than multi-signal arterials and coordinated control.…”

Section: Introductionmentioning

confidence: 99%

Urban Arterial Signal Coordination Using Spatial and Temporal Division Methods

Feng

Zhao

Lin

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Traffic signal coordination on urban arterials often requires that timing plans be divided either spatially into clusters of signalized intersections or temporally as time-of-day-based plans. This research proposes a method of dividing timing plans by both spatial and temporal factors simultaneously, in order to provide a dynamic coordinated signal control plan suitable for handling variations in intersection demands and fluctuations in traffic flow. The optimal coordination phase difference of adjacent space coordination subarea is obtained through the method of set operation, so that the spatial subareas can be connected. Similarly, timing plans are dynamically grouped into times of day using the concept of risk decision-making by solving the minimum value of the risk function. Divisions can be further adjusted in real time by changing the conditions, thus resulting in dynamic coordinated signal control. The proposed method was tested in a microscopic simulation of a real-world arterial based on empirical volumes and turning movements. The results showed that the proposed model produced greater reductions in delay and queue length when compared to the methods that subdivide by spatial or temporal thresholds alone. Sensitivity analysis revealed that the proposed method was better suited to imbalances in directional volumes when compared to spatial or temporal division methods alone.

show abstract

Time‐of‐day breakpoints optimisation through recursive time series partitioning

Cited by 9 publications

References 40 publications

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

A two‐stage robust optimal traffic signal control with reversible lane for isolated intersections

Urban Arterial Signal Coordination Using Spatial and Temporal Division Methods

Contact Info

Product

Resources

About