Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections

Mehmet Ali Silgu*, Ismet Goksad Erdagi, Hilmi Berk Celikoglu

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıComputer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers
EditörlerRoberto Moreno-Díaz, Alexis Quesada-Arencibia, Franz Pichler
YayınlayanSpringer
Sayfalar79-86
Sayfa sayısı8
ISBN (Basılı)9783030450953
DOI'lar
Yayın durumuYayınlandı - 2020
Etkinlik17th International Conference on Computer Aided Systems Theory, EUROCAST 2019 - Las Palmas de Gran Canaria, Spain
Süre: 17 Şub 201922 Şub 2019

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim12014 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???17th International Conference on Computer Aided Systems Theory, EUROCAST 2019
Ülke/BölgeSpain
ŞehirLas Palmas de Gran Canaria
Periyot17/02/1922/02/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Parmak izi

Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap