Arterial traffic signal coordination utilizing vehicular traffic origin-destination information

Arsava, Tuğba; Xie, Yuanchang; Gartner, Nathan H.; Mwakalonge, Judith

doi:10.1109/itsc.2014.6958018

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Figure 4 is a time-space diagram of the basic multiroute signal coordination control model OD-BAND, which contains three consecutive intersections involving two-way arterial green waves and three turning routes [21,22].…”

Section: Basic Multiroute Signal Coordination Control Modelmentioning

confidence: 99%

A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

Yao

Tang

Wang³

2021

Journal of Advanced Transportation

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Oriented to characteristics of the inflow and outflow of routes in urban road network, we modified the classical fundamental green wave bandwidth model, in which separate turning green wave band is available for traffic flow from subarterials merging into an arterial, and this variable green wave band can be more flexible to service the commuting traffic. Moreover, with the analysis of the mapping characteristics of the phase coordination rate, the concept of the coordination rate of green wave bandwidth was proposed, with which as the objective function, a multiroute signal coordination control model was established, and this model is a mixed integer linear programming problem with the overall optimal coordination rate of inbound, outbound, and turning movement as the objective. Finally, a case study was given with road network in Suzhou Industrial Park, Jiangsu Province, China. From the simulation results, we can conclude that the coordinated distribution of the model proposed in this study is more stable; the fluctuation range is 0.09, which is less than that of optimization scheme in classical signal timing software Synchro, which is 0.33; and the total route delay can also be reduced by 15% compared to the current situation and 3.3% compared to Synchro optimization solution.

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Section: Basic Multiroute Signal Coordination Control Modelmentioning

confidence: 99%

A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

Yao

Tang

Wang³

2021

Journal of Advanced Transportation

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“…Zhang et al [8] modified multiband into an asymmetric multiband model, which generates asymmetric progression bands with varying widths for different segments of the artery, and improves the use of available green intervals. Taking the queue clearance time as cross-bands, Arsava et al [9] improved maxband into origin-destination bandwidth (OD band) model, in which the bandwidths are weighted by the number of segments traversed by the turning-in traffic from the sides and by the traffic volume. Hu et al [10] replaced mixinteger linear programming of arterial TSC with a mathematical optimization model.…”

Section: Introductionmentioning

confidence: 99%

Efficient Original-Destination Bandwidth: A Novel Model for Arterial Traffic Signal Coordination

Wang¹,

Tian²

2020

JESA

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This paper proposes an efficient origin-estimation bandwidth (OD band) model, which provides dedicated progression bands for arterial traffic based on the real-time dynamic matrix of their estimated OD pairs. The innovations of the OD band model are as follows: First, the dynamics of through and turning-in/out traffics are analyzed based on the matrix of their estimated OD pairs, and used to generate the traffic movement sequence at continuous intersections; Second, the end-time of green interval for lag-lag phase sequence at continuous intersections is determined according to the relevant constraints, the relationship between the start/end-time of green interval and the minimum/maximum green intervals; Third, the bandwidths of the two directions of the artery ware produced, after being weighted by their traffic demands. The intuitiveness, convenience, and feasibility of the OD band model were fully demonstrated through a case study. Overall, the OD band model helps to produce bi-directional progression bands for traffic with many turning movements on the artery, and enables the through and turning-in/out traffics to proceed through continuous intersections, when the signals at those intersections are green.

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“…These models aim to maximize progression bands along arterial streets and ignore traffic streams coming in from, and going out to, the side streets. Recently, an OD-BAND model ( 17 ) was proposed that takes OD and side-street traffic information into consideration. Arsava et al ( 18 ) further enhanced the OD-BAND model by adopting a revised objective function that considers the number of road segments that a traffic stream or progression band traverses.…”

mentioning

confidence: 99%

OD-NETBAND: An Approach for Origin–Destination Based Network Progression Band Optimization

Arsava

Xie

Gartner

2018

Transportation Research Record

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Traditional progression band optimization methods are focused on providing uninterrupted flow along arterial streets. For arterials with significant traffic streams joining and leaving from side streets, these approaches often generate poor traffic signal control performance. To address this deficiency, an origin–destination (OD) information based progression band optimization model, OD-BAND, was formulated to coordinate signals for arterials with major side-street traffic streams. This paper aims to extend the OD-BAND model further to address the OD based traffic signal coordination problem in multi-arterial grid networks. The extended model is able to create separate progression bands for each major OD stream in the network. In this expanded model, individual arterials are connected with loop constraints to ensure that offsets derived via different paths for a particular intersection are equal. The new OD-NETBAND model is formulated as a mixed integer linear program that maximizes the sum of each major OD stream’s progression bandwidth. It can optimize simultaneously cycle length, offsets, and phase sequences for the entire network. Performance of the new model is evaluated with AIMSUN microscopic simulation and is compared with MAXBAND-86 and Synchro results.

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Arterial traffic signal coordination utilizing vehicular traffic origin-destination information

Cited by 10 publications

References 5 publications

A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

Efficient Original-Destination Bandwidth: A Novel Model for Arterial Traffic Signal Coordination

OD-NETBAND: An Approach for Origin–Destination Based Network Progression Band Optimization

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