1,721,054 research outputs found
Analytical Tools for ATIS (Strumenti Analitici per Applicazioni ATIS)
No full textATIS (Advanced Traveller Information Systems) are aimed to dispatch information on traffic conditions to travellers allowing them to keep their travel decisions with less uncertainty. Effects of ATIS can be analysed at a disaggregated level or at a network level. In the first case the impacts of ATIS on individual decisions are considered, in the second case it is considered how travellers’ decisions interact each other and with the congestion phenomenon, leading to actual traffic patterns. The investigation of the effects of information on travellers’ behaviours/choices at a disaggregated/individual level is the focus of this work, provided that it is a pre-requisite for any analysis of the impacts on traffic networks.
One of the crucial points in ATIS is that travellers’ behaviour is expected to be influenced by the ability of the system in making accurate estimations of actual travel times. In particular, this work investigates the effect of the information accuracy on travellers’ compliance and proposes an original modelling framework able to explicitly estimate it.
The study is carried out by means of an experimental environment based on a Stated Preference survey. The obtained results are very encouraging and allow for a deeper comprehension and simulation of travellers’ compliance with ATIS.
I sistemi ATIS (Advanced Traveller Information Systems) hanno come principale obiettivo quello di informare i viaggiatori sulle condizioni di traffico affinché essi possano effettuare le proprie scelte di viaggio con maggiore consapevolezza. Gli effetti degli ATIS possono essere analizzati a due diversi livelli: un livello disaggregato, al quale si osserva l’effetto che l’informazione ha sulle scelte di un dato viaggiatore, e ad un livello di rete, al quale si osserva l’effetto dell’interazione fra le scelte dei singoli utenti e fra queste ed il fenomeno della congestione. Questo studio si pone al livello di analisi disaggregato, premessa per qualsiasi operazione di valutazione dei sistemi ATSI a livello di rete. In particolare, l’obiettivo del lavoro è di effettuare un’analisi dell’effetto dell’accuratezza di un sistema ATIS sull’adeguamento delle scelte dei viaggiatori all’informazione ricevuta (compliance). In tale ambito, lo studio è stato effettuato a partire da una serie di dati raccolti mediante una indagine del tipo Preferenze Dichiarate (Stated Preferences- SP). I risultati ottenuti sono particolarmente significativi ed hanno permesso la specificazione e calibrazione di un modello in grado di simulare in maniera esplicita l’effetto delle caratteristiche dei servizi ATIS sulla compliance dei viaggiatori. I risultati aprono il campo all’utilizzo, all’interno di strumenti di assegnazione per contesti ATIS, della variabile di compliance non più in forma parametrica, come ad oggi generalmente fatto, ma in forma di variabile endogena
A traffic control framework for urban networks based on within-day dynamic traffic flow models
No full textSpecificazione e calibrazione di un modello di compliance in presenza di ATIS
No full textLa pubblicazione presenta i risultati della specificazione e calibrazione mediante indagini sulle preferenze dichiarate di un modello disaggregato capace di simulare gli effetti dell'inaccuratezza sulla compliance nei riguardi dell'informazione fornita
Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach
Full text linkIn this paper, the effects of a inter-urban carsharing program on users’ mode choice behaviour were investigated and modelled through specification, calibration and validation of different modelling approaches founded on the behavioural paradigm of the random utility theory. To this end, switching models conditional on the usually chosen transport mode, unconditional switching models and holding models were investigated and compared. The aim was threefold: (i) to analyse the feasibility of a inter-urban carsharing program; (ii) to investigate the main determinants of the choice behaviour; (iii) to compare different approaches (switching vs. holding; conditional vs. unconditional); (iv) to investigate different modelling solutions within the random utility framework (homoscedastic, heteroscedastic and cross-correlated closed-form solutions). The set of models was calibrated on a stated preferences survey carried out on users commuting within the metropolitan area of Salerno, in particular with regard to the home-to-work trips from/to Salerno (the capital city of the Salerno province) to/from the three main municipalities belonging to the metropolitan area of Salerno. All of the involved municipalities significantly interact each other, the average trip length is about 30 km a day and all are served by public transport. The proposed carsharing program was a one-way service, working alongside public transport, with the possibility of sharing the same car among different users, with free parking slots and free access to the existent restricted traffic areas. Results indicated that the inter-urban carsharing service may be a substitute of the car transport mode, but also it could be a complementary alternative to the transit system in those time periods in which the service is not guaranteed or efficient. Estimation results highlighted that the conditional switching approach is the most effective one, whereas travel monetary cost, access time to carsharing parking slots, gender, age, trip frequency, car availability and the type of trip (home-based) were the most significant attributes. Elasticity results showed that access time to the parking slots predominantly influences choice probability for bus and carpool users; change in carsharing travel costs mainly affects carpool users; change in travel costs of the usually chosen transport mode mainly affects car and carpool users
The effect of information quality on travellers' behaviour in ATIS context of choice. In: EURO XXIV. Lisbon, 11-14 luglio 2010, p. 1-10
No full text
Modelling the Propensity in Adhering to a Carsharing System: A Behavioral Approach
No full textAbstractIn this paper carsharing behavior was investigated with regard to a different and little investigated aspect of users’ behavior: modeling the propensity in adhering to a carsharing system. The propensity was modeled within the random utility framework through starting from a stated preferences survey. The main focus was on the investigation and estimation of a set of attributes able to interpret and measure the propensity. In particular, together with socio-economic and activity related attributes, the satisfaction variable (expected maximum utility) was tested in order to interpret the interest towards carsharing in light of the level of service supplied by the other transport modes and of the users’ socio-economic and activity-based characteristics. The satisfaction variable was specifically calibrated on actual mode choice behavior starting from revealed preferences data
Preliminary analysis of PM10 in the city of Naples
No full textThis paper focuses on the analysis of air quality in the City of Naples (Campania Region-Italy). The research aim is to make an introduction to the preliminary analysis of the particles less than 10 mm in diameter (PM10) by focusing on the correlation between the PM10 and the climatic variables (wind, temperature, mm and days of rain) and between the PM10 and the traffic. Moreover the research focuses also on the effect of the adopted traffic regulation strategies by the municipality in the city of Naples.
In order to be able to carried out, in future research, a model for the PM10 prediction, the main endogenous variables to involve in the model are identified. Every correlation is also studied over time
Investigating and modelling the effects of information accuracy on travellers' compliance with ATIS approach.
No full textATIS (Advanced Traveller Information Systems) are aimed to provide information on traffic conditions to travellers so that they can keep their travel decisions with less uncertainty. The effects of ATIS can be analysed with respect to two interrelated levels: at a disaggregated/individual level, considering the effect that the information has on travel choices of a given traveller; at a network level, considering that the individual reactions to information interact each the other (and with the congestion phenomenon) leading to actual traffic patterns. The investigation of the effects of information on travellers’ behaviours/choices at a disaggregated/individual level is a pre-requisite for any analysis on the impacts of ATIS on traffic networks. It is widely expected that travellers’ behaviour can be strongly influenced by the ability of the information system in making accurate estimations of the actual travel times they will experience on the network. The paper is addressed to investigate the effect of the information accuracy (and of its dispersion over time) on travelers’ concordance. A Stated Preference experiment has been made; the final objective has been to estimated the models addressed to simulate the respondents reaction to ATIS by considering the effect of information accuracy on travelers’ concordance.
The discrete choice models based on random utility theory were developed, switching and holding approaches were investigated, homoscedastic and heteroscedastic models were estimated
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