Advanced Methods of Activity-based Mobility Modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00328020" target="_blank" >RIV/68407700:21230/18:00328020 - isvavai.cz</a>

Výsledek na webu

<a href="http://transport.felk.cvut.cz/rodos_sw.html" target="_blank" >http://transport.felk.cvut.cz/rodos_sw.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Advanced Methods of Activity-based Mobility Modelling

Popis výsledku v původním jazyce

This document serves as a report of the activities of Faculty of Electrical Engineering, Czech Technical University in Prague – one of the partners at the RODOS transport systems development centre in Czech Republic. This work was supported by the Technology Agency of the Czech Republic, program “Competence Centres” (grant no. TE01010155). More specifically, the contents of the document are related to the aktivity TE01020155-V61 concerned with the development of advanced methods of activity-based modelling of transport systems. Activity-Based Models (ABM) [Ben-Akivai et al., 1996] are a specific kind of agent-based models of travel demand [Castiglione et al., 2015]. In contrast to traditional trip-centred alternatives, such as four-step demand model (described for example in [McNally, 2008]), activity-based models employ so-called activities and their sequences to represent the transport-related behaviour of the population. Travel demand is then occurring due to the necessity of the agents to satisfy their needs through activities performed at different places at different times. Trip origins, destinations and times are endogenous outcomes of activity scheduling. The activity-based approach considers individual trips in context and therefore allows representing realistic trip chains. A fundamental unit on the output of ABM is a sequential activity schedule representing the behaviour of a single agent during a specified time period (usually one day). An activity schedule consists of a list of activities and trips connecting them. Both the activities and trips are fixed in time and space – they have a specific start time and duration, as well as the activity location or trip’s origin/destination/route. Also, each activity has a specific activity type (e.g., work, school or shop) and each trip has its mode of transport (e.g. car or walk).

Název v anglickém jazyce

Advanced Methods of Activity-based Mobility Modelling

Popis výsledku anglicky

This document serves as a report of the activities of Faculty of Electrical Engineering, Czech Technical University in Prague – one of the partners at the RODOS transport systems development centre in Czech Republic. This work was supported by the Technology Agency of the Czech Republic, program “Competence Centres” (grant no. TE01010155). More specifically, the contents of the document are related to the aktivity TE01020155-V61 concerned with the development of advanced methods of activity-based modelling of transport systems. Activity-Based Models (ABM) [Ben-Akivai et al., 1996] are a specific kind of agent-based models of travel demand [Castiglione et al., 2015]. In contrast to traditional trip-centred alternatives, such as four-step demand model (described for example in [McNally, 2008]), activity-based models employ so-called activities and their sequences to represent the transport-related behaviour of the population. Travel demand is then occurring due to the necessity of the agents to satisfy their needs through activities performed at different places at different times. Trip origins, destinations and times are endogenous outcomes of activity scheduling. The activity-based approach considers individual trips in context and therefore allows representing realistic trip chains. A fundamental unit on the output of ABM is a sequential activity schedule representing the behaviour of a single agent during a specified time period (usually one day). An activity schedule consists of a list of activities and trips connecting them. Both the activities and trips are fixed in time and space – they have a specific start time and duration, as well as the activity location or trip’s origin/destination/route. Also, each activity has a specific activity type (e.g., work, school or shop) and each trip has its mode of transport (e.g. car or walk).

Druh

R - Software

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TE01020155" target="_blank" >TE01020155: Centrum pro rozvoj dopravních systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

R-TE01020155

Technické parametry

Software vytvořen v rámci Centra kompetence TAČR pro rozvoj dopravních systémů RODOS, číslo projektu TE0120155, je sadou nástrojů pro usnadnění aktivitního multiagentní modelování mobility ve městech. Nástroje kombinují a integrují heterogenní data od lokálních i globálních institucí týkající se dopravní nabídky i poptávky, data z dopravních deníků a dopravně-psychologické modely populace a umožňuje produkovat detailní databáze se širokou škálou využitelnosti, obsahující demografii populace, časové a prostorové rozvrhy denních aktivit jednotlivých obyvatel a trasy jejich cest.

Ekonomické parametry

Analýzy postavené na datech o demografii populace, jejich denních aktivitách a trasách jejich cest mají široké využití jak v soukromém sektoru, tak pro veřejnou správu. V současnosti lze obdobné analýzy získat od agentur, které spolupracují s mobilními operátory. Cena těchto analýz se pohybuje kolem 100tis. Kč za zakázku. Použitím našeho softwaru na vytvoření modelu a analýzu výstupů je možné vyrábět obdobné analýzy - a to bez potřeby opakovaně nakupovat surová data od mobilních operátorů, co podstatně snižuje náklady na samotné zakázky. Výstup softwaru je tedy možné prodávat za srovnatelnou cenu (cca 100tis. Kč), ale s nižšími náklady a tedy s větším ziskem.

IČO vlastníka výsledku

68407700

Název vlastníka

centrum umělé inteligence