H2020Индивидуална стипендия2018–2020

ECOINTELS · The Economics of the Intelligent Transportation Services

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2018-12-01 → 2020-11-30
Финансиране от ЕС: 171 461 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Икономиката на интелигентните транспортни услуги, като например автоматизираните таксита и споделеният транспорт, се анализира чрез нови модели за ценообразуване и маршрутизация. Това помага за по-доброто разбиране на социално-икономическите ефекти и подобряването на устойчивостта на градския и селския транспорт.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

The Economics of the Intelligent Transportation Services

Technological advancements have enabled new flexible and demand-responsive transportation services, whose significance on both urban and rural transportation systems have been increased rapidly due to the successful transport network companies such as Uber and Lyft and due to innovative public transportation operators developing automated demand-responsive services with public-private-partnerships. At the same time, there has been also increasing interest in these services in several academic disciplines. Recently, research has focused on modelling these services and related pricing policies, and on developing algorithms for optimal vehicle routing and demand management for improving passenger experience and sustainability of the new transport services. The overall objective of the project was to achieve deeper understanding on the economics of the intelligent transportation services by extending the economic models of the automated demand responsive transportation (DRT) and by analyzing potential socio-economic impacts of the new transportation services.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Technological advancements have enabled new flexible and demand-responsive transportation services, whose significance on both urban and rural transportation systems have been increased rapidly due to the successful transport network companies such as Uber and Lyft and due to innovative public transportation operators developing automated demand-responsive services with public-private-partnerships. At the same time, there has been also increasing interest in these services in several academic disciplines like operations research, transportation economics and computer science. Recently, research has focused on modelling these services and related pricing policies, and on developing algorithms for optimal vehicle routing and demand management.During the fellowship period, the object is to achieve deeper understanding on the economics of the intelligent transportation services by extending the economic models of the automated demand responsive transportation and by adopting recently developed simulation models of the Max-Planck Institute, which utilize trip origin-destination data collected in Germany, South-Africa and elsewhere.

Оригинален текст от CORDIS (на английски).

Участници

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV · MUNCHENКоординаторГермания