분야별 논문보기
APP별 논문보기
- 2d_comp_p
- 2d_continuum_analysis
- 2d_incomp_p
- 2d_yuibm_1
- 3d_electrophysiology_humanhf
- brownian_dynamics
- caffeineedison
- cnt_fet
- cr2d_dyn
- cr2d_st
- csd_elast
- csd_eplast
- dock
- dpd_linear_polymer
- edava
- edisondesigner
- edwave2d
- eklgcmc2
- emega
- galaxytbm
- galaxydock
- galaxyrefine
- galaxytbm
- gamess
- ksec2d_ae
- ksec2d_wm
- lcaodftlab
- m-sketch
- nanowire_fet
- plate_shell_analysis
- pnjunclab
- sfe_calc
- sfe_calc_v2
- solarcell
- solv_freee
- tb_em_negf
- tb_em_negf_tmd
- tb_em_nw
- utb_fet
GA를 이용한 4지 교차로 신호 최적화
GA를 이용한 4지 교차로 신호 최적화
Challenge 애게서 업로드 하였습니다. 17. 8. 9 오후 3:22 경진대회: 전산설계 전산설계 » 4회 경진대회
버전 1.0
The control delays at signal intersections have proved the source of numerous vehicular and environmental complications. Control delays both directly and indirectly hinder time- and cost-effective driving by extending the duration of time spent on the road and exhausting excessive amounts of fuel. They furthermore cause traffic congestion, thereby raising overall emission levels. It is therefore imperative to reduce control delays in order to achieve time and fuel economy and reduce vehicle-related pollution. The following study accordingly uses genetic algorithms to optimize traffic signals in congested environments.
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