A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks-Reference-Cited by-同舟云学术

A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks

Published:2022-07-27 Issue:1 Volume:11 Page:528-547
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Bayrak Murat¹^ORCID,Yu Zhengyao²,Gayah Vikash V.²^ORCID

Affiliation:

1. Department of Built Environment, Aalto University, Espoo, Finland

2. Department of Civil and Environmental Engineering, The Pennsylvania State University, State College, PA, USA

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2022.2102553

Reference42 articles.

1. Baluja, Shumeet. 1994. “Population-Based Incremental Learning. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning.” Report. Carnegie-Mellon Univ Pittsburgh Pa Dept of Computer Science.

2. Berkowitz, Carl, Clifford Bragdon, and Francisco Mier. 1996. “Continuous Flow Intersection: A Public Private Partnership.” IEEE Vehicle Navigation and Information Systems Conference, October 14–18. Orlando, USA, 277–287.

3. Equilibrium Analysis of Low-Conflict Network Designs

4. Chowdhury, Md Shoaib. 2011. “An Evaluation of New Jersey Jug-Handle Intersection (NJJI) With and Without Pre-Signals.” Transportation and Development Institute Congress 2011: Integrated Transportation and Development for a Better Tomorrow, March 13–16. Chicago, USA, 1245–1254.

5. Prohibiting Left-Turn Movements at Mid-Block Unsignalized Driveways: Simulation Analysis

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