NDLI: Adaptive Traffic Signal Control for Multi-intersection Based on Microscopic Model

Content Provider	IEEE Xplore Digital Library
Author	Biao Yin Dridi, M. El Moudni, A.
Copyright Year	2015
Description	Author affiliation: Lab. IRTES-SeT, Univ. de Technol. de Belfort-Montbeliardm, Belfort, France (Biao Yin; Dridi, M.; El Moudni, A.)
Abstract	In this paper, we mainly propose an online learning method for adaptive traffic signal control in a multi-intersection system. The method uses approximate dynamic programming (ADP) to achieve a near-optimal solution of the signal optimization in a distributed network, which is modeled in a microscopic way. The traffic network loading model and traffic signal control model are presented to serve as the basis of discrete-time control environment. The learning process of linear function approximation in ADP approach adopts the tunable parameters of the traffic states, including the vehicle queue length and the signal indication. ADP overcomes the computational complexity, which usually appears in large scale problems solved by exact algorithms, such as dynamic programming. Moreover, the proposed adaptive phase sequence (APS) mode improves the performance by comparing with other control methods. The results in simulation show that our method performs quite well for adaptive traffic signal control problem.
Starting Page	49
Ending Page	55
File Size	333080
Page Count	7
File Format	PDF
ISSN	10823409
e-ISBN	9781509001637
DOI	10.1109/ICTAI.2015.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load modeling Vehicles Adaptation models Mathematical model Microscopy Function approximation adaptive phase sequence adaptive signal control multi-intersection approximate dynamic programming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Approximate dynamic programming with recursive least-squares temporal difference learning for adaptive traffic signal control

Online and model-free supplementary learning control based on approximate dynamic programming

Approximation Dynamic Programming for multi-intersections traffic signal intelligent control

A decentralized adaptive traffic signal control using V2I communication data

Development of multi-agent ANFIS-based model for urban traffic signal control

Adaptive emission control of freeway traffic via compensation of modeling inconsistences

An Approximate Dynamic Programming Strategy for Responsive Traffic Signal Control

Validation of a new multiclass mesoscopic simulator based on individual vehicles for dynamic network loading

Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection

Adaptive Traffic Signal Control for Multi-intersection Based on Microscopic Model

Similar Documents

Approximate dynamic programming with recursive least-squares temporal difference learning for adaptive traffic signal control

Online and model-free supplementary learning control based on approximate dynamic programming

Approximation Dynamic Programming for multi-intersections traffic signal intelligent control

A decentralized adaptive traffic signal control using V2I communication data

Development of multi-agent ANFIS-based model for urban traffic signal control

Adaptive emission control of freeway traffic via compensation of modeling inconsistences

An Approximate Dynamic Programming Strategy for Responsive Traffic Signal Control

Validation of a new multiclass mesoscopic simulator based on individual vehicles for dynamic network loading

Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection

Adaptive Traffic Signal Control for Multi-intersection Based on Microscopic Model