The Optimal Unit Green Extension — Considering Different Demand Patterns

Jun Cai; Hui Yuan Liu; Li Hui Zhang; Zhong Wang

doi:10.4028/www.scientific.net/AMM.409-410.1357

Paper Titles

Research on Second Ring Expressway Traffic Congestion in Beijing
p.1339

Review on Emergency Traffic Control in Urban Area with Probe Data
p.1343

Prediction Method for Freeway Wheelpath Distribution
p.1347

A Parking Vehicle Detection Algorithm Using Magnetic Sensor
p.1353

The Optimal Unit Green Extension — Considering Different Demand Patterns
p.1357

Study on Trip Generation of Residential Quarters in Suzhou
p.1366

Network Cabling Problems in Highway Toll System Discussion
p.1370

Established Methods of Space between Expressway Work Zones Based on Delay of Expressway
p.1374

Detection Criteria and Reliability Analysis of Highway Closed Circuit Television
p.1379

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 409-410The Optimal Unit Green Extension — Considering...

The Optimal Unit Green Extension — Considering Different Demand Patterns

Abstract:

Actuated signals are able to adjust phase intervals in a real-time manner, in response to the traffic conditions obtained from vehicle detectors. These adjustments are implemented through a set of pre-determined controller parameters, including the unit green extension. This paper develops a model based on cell transmission model (CTM) to optimize the unit green extension, explicitly considering the stochastic demand arrivals, which, from a disaggregated view, imposes significant impact on individual vehicle delay and thus influences the overall system performance. The vehicle actuation logic is mathematically formulated as a system of equalities and inequalities. Genetic algorithm is employed to solve the resulted mixed-integer problem and numerical examples are presented to generate optimal unit green extensions under various demand patterns.

You might also be interested in these eBooks

Sustainable Development and Environment II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 409-410)

Pages:

1357-1365

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.409-410.1357

Citation:

Cite this paper

Online since:

September 2013

Authors:

Jun Cai, Hui Yuan Liu, Li Hui Zhang, Zhong Wang

Keywords:

Actuated Signal, Genetic Algorithm (GA), Mixed-Integer Programming, Travel Demand Pattern, Unit Green Extension

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] FHWA: Traffic Signal Timing Manual (2013).

Google Scholar

[2] Institute of Transportation Engineering (ITE): Traffic Detector Handbook, 2nd ed. (Washington, DC, 1997).

Google Scholar

[3] J. Sun and L. Zhang: Journal of Central South University, Vol. 19(2012), p.287.

Google Scholar

[4] G.F. Newell: Transportation Science, Vol. 3 (1969), p.30.

Google Scholar

[5] G.F. Newell and E.E. Osuna: Transportation Science, Vol. 3 (1969), p.99.

Google Scholar

[6] J.A. Bonneson and P.T. Mccoy: Transportation Research, Part A, Vol. 29 (1995), p.429.

Google Scholar

[7] D.H. Wang, X.M. Song and H.Q. Li, in: Applications of Advanced Technologies in Transportation Engineering, edited by K. Sinha, T.F. Fwa, R.L. Cheu and D.H. Lee, ASCE, Beijing, China (2004), p.48.

Google Scholar

[8] Y.G. Huang, H.Y. Wen, Z.C. He and Y.F. Tang: Computer and Communication, Vol. 25 (2007), p.45.

Google Scholar

[9] J.Y. Guo, S. Liu, S.K. Chen and L.Q. Bai: Journal of Transportation Systems Engineering and Information Technology. Vol. 4 (2004), p.68.

Google Scholar

[10] C.F. Daganzo: Transportation Research, Part B, Vol. 28 (1994), p.269.

Google Scholar

[11] C.F. Daganzo: Transportation Research, Part B, Vol. 29 (1995), p.79.

Google Scholar

[12] L. Zhang, Y. Yin and Y. Lou: Transportation Research Record, 2192 (2011), p.156.

Google Scholar