Demand scenarios from 17:00 to 18:00 in simulation verification.

<p>Demand scenarios from 17:00 to 18:00 in simulation verification.</p>

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Opis bibliograficzny
1. autor:	Bin Zhao (276445) (author)
Kolejni autorzy:	Yanni Ju (22170954) (author), Shengyang Jiao (22766227) (author), Denghui Yang (12332806) (author)
Wydane:	2025
Hasła przedmiotowe:	Medicine Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified varying transition probabilities simulation experiments reveal including fuel consumption average relative error average absolute error two optimization frameworks synchro initially increases algorithm perform effectively traffic signal control rolling optimization strategy delay reduction achieved div >< p average delay time total costs compared average delay rolling optimization total costs synchro software recursive algorithm traffic intensity traffic demand proposed model percentage reduction oversaturated conditions minimizing either minimize either mean results approximately 70 address cpdse achieve real 5152 vehicles 200 simulations
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