Optimization of transport flow on two paths with respect to the passengers time costs

Paolo Mercorelli

doi:10.46300/9106.2021.15.172

Optimization of transport flow on two paths with respect to the passengers time costs

Paolo Mercorelli^*

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

Abstract

Transportation of passengers by public transport is one of the most important tasks of the economy. Waste of passengers’ time plays a special role in optimizing the movement of vehicles on urban routes. This paper considers an optimization problem in the context of two paths and proposes an optimal strategy of transport with respect to the costs of the travel. The optimization method is based on the Newton Method and the software is realized using Python.

Originalsprache	Englisch
Aufsatznummer	172
Zeitschrift	International Journal of Circuits, Systems and Signal Processing
Jahrgang	15
Seiten (von - bis)	1602-1606
Seitenumfang	5
ISSN	1998-4464
DOIs	https://doi.org/10.46300/9106.2021.15.172
Publikationsstatus	Erschienen - 29.10.2021

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 11 – Nachhaltige Städte und Gemeinschaften

Fachgebiete und Schlagwörter

Ingenieurwissenschaften

ASJC Scopus Sachgebiete

Signalverarbeitung
Elektrotechnik und Elektronik

Zugriff auf Dokument

10.46300/9106.2021.15.172Lizenz: CC BY

DownloadEndgültige, publizierte Fassung, 1,08 MBLizenz: CC BY

Dieses zitieren

@article{4a00811736374adab61e6d90ca729923,

title = "Optimization of transport flow on two paths with respect to the passengers time costs",

abstract = "Transportation of passengers by public transport is one of the most important tasks of the economy. Waste of passengers{\textquoteright} time plays a special role in optimizing the movement of vehicles on urban routes. This paper considers an optimization problem in the context of two paths and proposes an optimal strategy of transport with respect to the costs of the travel. The optimization method is based on the Newton Method and the software is realized using Python.",

keywords = "Gradient methods, Optimization, Traffic control, Engineering",

author = "Paolo Mercorelli",

year = "2021",

month = oct,

day = "29",

doi = "10.46300/9106.2021.15.172",

language = "English",

volume = "15",

pages = "1602--1606",

journal = "International Journal of Circuits, Systems and Signal Processing",

issn = "1998-4464",

publisher = "North Atlantic University Union NAUN",

}

TY - JOUR

T1 - Optimization of transport flow on two paths with respect to the passengers time costs

AU - Mercorelli, Paolo

PY - 2021/10/29

Y1 - 2021/10/29

N2 - Transportation of passengers by public transport is one of the most important tasks of the economy. Waste of passengers’ time plays a special role in optimizing the movement of vehicles on urban routes. This paper considers an optimization problem in the context of two paths and proposes an optimal strategy of transport with respect to the costs of the travel. The optimization method is based on the Newton Method and the software is realized using Python.

AB - Transportation of passengers by public transport is one of the most important tasks of the economy. Waste of passengers’ time plays a special role in optimizing the movement of vehicles on urban routes. This paper considers an optimization problem in the context of two paths and proposes an optimal strategy of transport with respect to the costs of the travel. The optimization method is based on the Newton Method and the software is realized using Python.

KW - Gradient methods

KW - Optimization

KW - Traffic control

KW - Engineering

UR - https://www.scopus.com/pages/publications/85119586409

U2 - 10.46300/9106.2021.15.172

DO - 10.46300/9106.2021.15.172

M3 - Journal articles

AN - SCOPUS:85119586409

SN - 1998-4464

VL - 15

SP - 1602

EP - 1606

JO - International Journal of Circuits, Systems and Signal Processing

JF - International Journal of Circuits, Systems and Signal Processing

M1 - 172

ER -

Optimization of transport flow on two paths with respect to the passengers time costs

Abstract

UN SDGs

Fachgebiete und Schlagwörter

ASJC Scopus Sachgebiete

Zugriff auf Dokument

Fingerprint

Dieses zitieren