Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model

Kok Mun Ng, Md. Mamun Ibne Reaz, Mohd Alauddin Mohd Ali

Research output: Contribution to journalArticle

Abstract

Model-based optimal control strategies were capable of handling saturated traffic regimes with the ability to maintain optimised network performance. However, the upstream queue spillback which was not considered by these strategies renders an inefficient handling of oversaturated traffic regime. Hence, oversaturated situations needs both traffic flow coordination and queue spillback regulation. Here, the author aims to regulate oversaturated regimes with model-based control strategy (MCS) based on the Lighthill-Whitham-Richards–integrated model (LWR-IM) traffic model. A traffic simulator which was developed in a previous work is further extended with the proposed MCS. The MCS comprised of a rolling horizon network prediction and control algorithms at both the network and intersection levels. Based on future predictions of platoon sizes, arrival times, and queues; phase durations are adjusted at the intersection level by employing a proportionate methodology in responding to the incoming platoons and a regulation strategy to handle queue spillback. The proposed MCS was tested on real-world traffic via simulations to assess its performance compared to existing fixed-time system. The MCS improved the average delays and network throughput significantly and manage to keep queues from spilling back upstream. In addition, the strategy is feasible for real-time implementation.

Original languageEnglish
Pages (from-to)896-904
Number of pages9
JournalIET Intelligent Transport Systems
Volume13
Issue number5
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

traffic
regime
regulation
arrival time
Network performance
prediction
Telecommunication traffic
simulator
performance
Simulators
Throughput
methodology
simulation
ability
time

ASJC Scopus subject areas

  • Transportation
  • Environmental Science(all)
  • Mechanical Engineering
  • Law

Cite this

Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model. / Ng, Kok Mun; Ibne Reaz, Md. Mamun; Mohd Ali, Mohd Alauddin.

In: IET Intelligent Transport Systems, Vol. 13, No. 5, 01.01.2019, p. 896-904.

Research output: Contribution to journalArticle

@article{eaf48830e11e48cea954098a2f9d3358,
title = "Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model",
abstract = "Model-based optimal control strategies were capable of handling saturated traffic regimes with the ability to maintain optimised network performance. However, the upstream queue spillback which was not considered by these strategies renders an inefficient handling of oversaturated traffic regime. Hence, oversaturated situations needs both traffic flow coordination and queue spillback regulation. Here, the author aims to regulate oversaturated regimes with model-based control strategy (MCS) based on the Lighthill-Whitham-Richards–integrated model (LWR-IM) traffic model. A traffic simulator which was developed in a previous work is further extended with the proposed MCS. The MCS comprised of a rolling horizon network prediction and control algorithms at both the network and intersection levels. Based on future predictions of platoon sizes, arrival times, and queues; phase durations are adjusted at the intersection level by employing a proportionate methodology in responding to the incoming platoons and a regulation strategy to handle queue spillback. The proposed MCS was tested on real-world traffic via simulations to assess its performance compared to existing fixed-time system. The MCS improved the average delays and network throughput significantly and manage to keep queues from spilling back upstream. In addition, the strategy is feasible for real-time implementation.",
author = "Ng, {Kok Mun} and {Ibne Reaz}, {Md. Mamun} and {Mohd Ali}, {Mohd Alauddin}",
year = "2019",
month = "1",
day = "1",
doi = "10.1049/iet-its.2018.5381",
language = "English",
volume = "13",
pages = "896--904",
journal = "IET Intelligent Transport Systems",
issn = "1751-956X",
publisher = "Institution of Engineering and Technology",
number = "5",

}

TY - JOUR

T1 - Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model

AU - Ng, Kok Mun

AU - Ibne Reaz, Md. Mamun

AU - Mohd Ali, Mohd Alauddin

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Model-based optimal control strategies were capable of handling saturated traffic regimes with the ability to maintain optimised network performance. However, the upstream queue spillback which was not considered by these strategies renders an inefficient handling of oversaturated traffic regime. Hence, oversaturated situations needs both traffic flow coordination and queue spillback regulation. Here, the author aims to regulate oversaturated regimes with model-based control strategy (MCS) based on the Lighthill-Whitham-Richards–integrated model (LWR-IM) traffic model. A traffic simulator which was developed in a previous work is further extended with the proposed MCS. The MCS comprised of a rolling horizon network prediction and control algorithms at both the network and intersection levels. Based on future predictions of platoon sizes, arrival times, and queues; phase durations are adjusted at the intersection level by employing a proportionate methodology in responding to the incoming platoons and a regulation strategy to handle queue spillback. The proposed MCS was tested on real-world traffic via simulations to assess its performance compared to existing fixed-time system. The MCS improved the average delays and network throughput significantly and manage to keep queues from spilling back upstream. In addition, the strategy is feasible for real-time implementation.

AB - Model-based optimal control strategies were capable of handling saturated traffic regimes with the ability to maintain optimised network performance. However, the upstream queue spillback which was not considered by these strategies renders an inefficient handling of oversaturated traffic regime. Hence, oversaturated situations needs both traffic flow coordination and queue spillback regulation. Here, the author aims to regulate oversaturated regimes with model-based control strategy (MCS) based on the Lighthill-Whitham-Richards–integrated model (LWR-IM) traffic model. A traffic simulator which was developed in a previous work is further extended with the proposed MCS. The MCS comprised of a rolling horizon network prediction and control algorithms at both the network and intersection levels. Based on future predictions of platoon sizes, arrival times, and queues; phase durations are adjusted at the intersection level by employing a proportionate methodology in responding to the incoming platoons and a regulation strategy to handle queue spillback. The proposed MCS was tested on real-world traffic via simulations to assess its performance compared to existing fixed-time system. The MCS improved the average delays and network throughput significantly and manage to keep queues from spilling back upstream. In addition, the strategy is feasible for real-time implementation.

UR - http://www.scopus.com/inward/record.url?scp=85065299315&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065299315&partnerID=8YFLogxK

U2 - 10.1049/iet-its.2018.5381

DO - 10.1049/iet-its.2018.5381

M3 - Article

AN - SCOPUS:85065299315

VL - 13

SP - 896

EP - 904

JO - IET Intelligent Transport Systems

JF - IET Intelligent Transport Systems

SN - 1751-956X

IS - 5

ER -