Genetic programming for estimating passenger car equivalent in unsignalized intersections

• Autorzy: Munshi Aarohi Kumar , Patnaik Ashish Kumar

Identyfikatory

DOI

10.24425/bpasts.2024.149180

• Języki publikacji: EN

Abstrakty

EN

The study concentrates on two different genetic programming approaches for determining passenger car equivalent (PCE) values and observing the impact on capacity estimation at urban unsignalized intersections. Considering heterogeneous traffic conditions, a new PCE value is introduced to encompass sustainable modes of public transit vehicles, specifically slow-moving three-wheelers (SM3W), commonly known as E-Rickshaws. Since PCE value is considered an important parameter for capacity calculations, the present study considered 14 unsignalized intersections located in Ranchi city of India. An automatic plate recognition system is employed to have the count of vehicular traffic. The methodologies include age-layered population structure genetic programming (ALPSGP), and the offspring selection genetic programming (OSGP) approach that incorporates static and dynamic variables. Based on the significance test and ranking of the genetic programming (GP) models, the OSGP model is recommended as the most appropriate model for heterogeneous traffic. Sensitivity analysis reported that lagging headway (Hi) is the most contributing factor in PCE estimation. The PCE value of SM3W is found to be 0.81 and that could be incorporated as a new classification of vehicles in Indo-HCM. It is observed that evaluated capacity based on PCE values of OSGP performed admirably in both normal and congested traffic situations.

Słowa kluczowe

EN

passenger car equivalent; PCE; unsignalized intersection; slow-moving three-wheelers; SM3W; urban traffic; sustainable mode; genetic programming

PL

odpowiednik samochodu osobowego; PCE; skrzyżowanie niesygnalizowane; wolno poruszające się pojazdy trójkołowe; SM3W; ruch miejski; tryb zrównoważony; programowanie genetyczne

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 3
• Strony: art. no. e149180
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Munshi Aarohi Kumar

• Department of Civil & Environmental Engineering, Birla Institute of Technology Mesra, India

autor

Patnaik Ashish Kumar

• Department of Civil & Environmental Engineering, Birla Institute of Technology Mesra, India

• https://orcid.org/0000-0002-8674-9148

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).