A Real-Time Traffic Lights Scheduling Strategy

Bin Bin Zhou

doi:10.4028/www.scientific.net/AMM.380-384.253

Paper Titles

Modeling and Simulation of Turning Characteristic of Batoid
p.232

The Analysis of Traffic Flow Model
p.237

Design of the Secure System and Research of the Hydromechanics Based on the Small Marine Equipment
p.241

Research on Continuous Reconnaissance Capability of UAV Formation in Multi-Target Situation
p.246

A Real-Time Traffic Lights Scheduling Strategy
p.253

The Study of Control Strategy of Multi-Microgrid Based on AC Bus
p.257

Design and Realization of the Air Heater Temperature Control
p.262

Research and Implementation of Electric Control System
p.266

A Model Predictive Controller of Spacecraft Formation Tracking Based on the Hill Equation
p.270

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Real-Time Traffic Lights Scheduling Strategy

A Real-Time Traffic Lights Scheduling Strategy

Abstract:

In this paper, we study the problem of real-time traffic lights scheduling in a three-dimension intersection. Here, we propose a traffic lights scheduling strategy to optimize the traffic lights sequence and duration according to traffic data detected and predicted in real-time, containing traffic volume, delays and traffic density. Simulations are carried out to compare the performance in terms of average delays, and the evaluation depicts that this strategy can obtain lower average waiting delays.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

253-256

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.253

Citation:

Cite this paper

Online since:

August 2013

Authors:

Bin Bin Zhou

Keywords:

Average Waiting Delays, Real-Time Traffic Lights Scheduling, Three-Dimension

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. R. Berenji and P. Khedkar, Learning and tuning fuzzy controllers through reinforcement, In IEEE Transactions on Neural Networks, volume 3, pages: 724–740, (1992).

DOI: 10.1109/72.159061

Google Scholar

[2] M. B. Trabia, M. S. Kaseko, and M. Ande, A two-stage fuzzy logic controller for traffic signals, In Transportation Research Part C, (1999).

DOI: 10.1016/s0968-090x(99)00026-1

Google Scholar

[3] J. Niittymaki and M. Pursula, Signal control using fuzzy logic, In Fuzzy Sets and Systems, volume 116, (2000).

DOI: 10.1016/s0165-0114(99)00034-2

Google Scholar

[4] B. Abdulhai, R. Pringle, and G. J. Karakoulas, Reinforcement learning for true adaptive traffic signal control, In Journal of Transportation Engineering, volume 129, pages 278–285, (2003).

DOI: 10.1061/(asce)0733-947x(2003)129:3(278)

Google Scholar