The effect of Advanced Traveller Information Systems on public transport demand and its uncertainty

Zito, Pietro; Amato, Gianfranco; Amoroso, Salvatore; Berrittella, Maria

doi:10.1080/18128600903244727

Cited by 37 publications

(17 citation statements)

References 15 publications

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“…Combining mixed-revealed preference and stated preference data, Wen (2010) proposed an alternative tree modeling structure for problems with multinomial and nested-choice hierarchy. Zito et al (2011) considered an ordered probit-demand model to estimate the public transport demand enhanced by the advanced traveler-information system. These models based on utility theory assume a utility function with observed variables and a random component capturing the unobserved factors that affect the individual's choice, and the random component may follow some assumed distributions.…”

Section: Overview Of Related Workmentioning

confidence: 99%

An Analysis of Car and Motorcycle Ownership in Macao

Wong

2013

International Journal of Sustainable Transportation

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Reducing automobile dependency is one of the key challenges in the development of a sustainable transportation system. However, to evaluate the effectiveness of a policy, it is necessary to understand the factors that would influence the choice behavior of travelers. In this paper, the impacts of urban characteristics to the household vehicle ownership level for cars and motorcycles in Macao are investigated. A discrete choice approach is used to estimate the number of vehicles that a household would own using disaggregate household survey data. The result reveals that whereas income has positive effect on both car and motorcycle ownerships, the demographic attributes of the residential locations have different effects to the ownerships of the two vehicle types. We also propose that the motorcycle ownership should be represented at a personal decision level instead of a household level.

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Section: Overview Of Related Workmentioning

confidence: 99%

An Analysis of Car and Motorcycle Ownership in Macao

Wong

2013

International Journal of Sustainable Transportation

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“…While it is possible to locate, track, and measure traffic density on various roads by intelligent agents concerned with road infrastructure [2], intelligent devices in vehicles are capable of collecting live data and using the same for planning purposes [3][4][5]. This makes it possible to enable a vehicle to avoid roads where congestion is likely to occur and to use alternative routes.…”

Section: Introductionmentioning

confidence: 99%

Congestion avoidance in city traffic

Kala

Warwick

2014

J of Advced Transportation

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SUMMARYThe number of vehicles on the road (worldwide) is constantly increasing, causing traffic jams and congestion especially in city traffic. Anticipatory vehicle routing techniques have thus far been applied to fairly small networked traffic scenarios and uniform traffic. We note here a number of limitations of these techniques and present a routing strategy on the assumption of a city map that has a large number of nodes and connectivity and where the vehicles possess highly varying speed capabilities. A scenario of operation with such characteristics has not previously been sufficiently studied in the literature. Frequent short-term planning is preferred as compared with infrequent planning of the complete map. Experimental results show an efficiency boost when single-lane overtaking is allowed, traffic signals are accounted for and every vehicle prefers to avoid high traffic density on a road by taking an alternative route. Comparisons with optimistic routing, pessimistic routing and time message channel routing are given.

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“…Bajwa et al (2008) investigated the mode and departure time choice processes of passengers and devised different model specifications for a combined mode and departure-time choice-model, which takes the delays also into consideration. Zito et al (2011) explored the opportunities of advanced traveller information systems at a public transportation provider company. They made model calibration to determine the potential additional share of demand attracted by the adoption of advanced traveller information systems.…”

Section: Literature Review -Related Workmentioning

confidence: 99%

Method for Analysis and Prediction of Dwell Times at Stops in Local Bus Transportation

Csiszár

Sándor

2016

Transport

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Abstract. The punctuality of local public bus transportation contributes to the service quality and has impact on mode choice. Appropriate planning and control measures as well as adequate passenger information require efficient analysis and prediction methods. Advanced fleet tracking systems provide enough data for these research purposes. The main factors that cause schedule deviation has been identified through the analysis of the data. As important time elements of the journey time are dwell times at stops, the research focused on it; however, the elaborated database structure is adequate also for analysis of the other time elements, which coincides with our further research intentions too. Innovative methods based on the historical data have been elaborated for the prediction of dwell times. The essence of the method: multi-variate analysis of the dwell times by exploration of the significant influencing factors, and then prediction of times based on the factors describing the certain situations. Soundness of the methods has been verified with examples, and the results well approximated the real values.

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The effect of Advanced Traveller Information Systems on public transport demand and its uncertainty

Cited by 37 publications

References 15 publications

An Analysis of Car and Motorcycle Ownership in Macao

An Analysis of Car and Motorcycle Ownership in Macao

Congestion avoidance in city traffic

Method for Analysis and Prediction of Dwell Times at Stops in Local Bus Transportation

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