A fast decision making method for mandatory lane change using kernel extreme learning machine

Author:

Cheng SenlinORCID,Xu Yang,Zong Ruixue,Wang Chuanhai

Funder

National Natural Science Foundation of China

The Project of Standardization and New Model for Intelligent Manufacture

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference24 articles.

1. Toledo T, Koutsopoulos H, Ben-Akiva M (2003) Modeling integrated lane-changing behavior. Transp Res Rec J Transp Res Board 1857:30–38

2. Drew DR, LaMotte LR, Wattleworth JA et al (1967) Gap acceptance in the freeway merging process. Highw Res Rec 208:36

3. Gipps PG (1986) A model for the structure of lane-changing decisions. Transp Res Part B Methodol 20(5):403–414

4. Wiedemann R, Reiter U (1992) Microscopic traffic simulation: the simulation system MISSION, background and actual state. Proj ICARUS (V1052) Final Rep 2:1–53

5. Yang Q, Koutsopoulos HN (1996) A microscopic traffic simulator for evaluation of dynamic traffic management systems. Transp Res Part C Emerg Technol 4(3):113–129

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