Reverse assignment: calibrating link cost functions and updating demand from traffic counts and time measurements

Russo, Francesco; Vitetta, Antonino

doi:10.1080/17415977.2011.565339

Cited by 62 publications

(44 citation statements)

References 31 publications

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“…Advanced dynamic models are proposed in Vitetta et al [45] and Polimeni and Vitetta [47]. Vitetta et al propose the interaction of demand and supply in emergency conditions [49][50][51][52][53]; for a general approach to this theme we recall Russo and Chilà [54].…”

Section: Mode and Route Choicementioning

confidence: 99%

The role of demand models in evacuation

Chilà¹

2012

Risk Analysis VIII

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Section: Mode and Route Choicementioning

confidence: 99%

The role of demand models in evacuation

Chilà¹

2012

Risk Analysis VIII

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“…In most case, these communication systems are indicated as Advanced Traveler Information System (ATIS [43]). The information sent, in general, change the user behaviour, like in term of path choice [44,45] and consequently change in traffic assignment [46]. In Table 3 the user needs and the possible related function for data communication are reported.…”

Section: User Informationmentioning

confidence: 99%

The role of ITS in evacuation route optimization for emergency vehicles

Polimeni¹,

Vitetta²

2012

Risk Analysis VIII

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In this paper the application of ITS (Intelligent Transportation Systems) in road evacuation in the case of route optimization for emergency vehicles is reported. The ITS are usually used in transport to analyse the data and improve the system performances. In road evacuation, the ITS can be used at three levels: survey and transmission, control and user information. This structure allows managing an evacuation starting from the network monitoring and defining the optimal strategies to apply to speed up the evacuation procedure.

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“…It should be noted that, for some analytical functions, both models can have an identical form. A recent overview of how models allow analysts to obtain behavioral solutions from revealed data is given by Russo and Vitetta [50] and Ortuzar and Willumsen [51].…”

Section: The Modeling Framework For Ex-ante Urban Freight Scenario Asmentioning

confidence: 99%

Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results

Russo

Comi

2016

Sustainability

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This paper reviews the ex-post assessment of city logistics measures implemented in some European cities and, in a "what if" framework, proposes an analysis of tested environmental effects which may be useful in defining city logistics scenarios to be evaluated ex ante by simulation models. The analysis is performed in relation to the goals of environmental sustainability to pursue and the main characteristics of the cities in question (i.e., population and density). The paper aims to provide a tool that could be used in an ex-ante assessment methodology to identify a priori which measures (or set of measures) could best work in a specific city with respect to the environmental sustainability goals to pursue. Future scenarios can, thus, be readily defined and subsequently assessed by simulation tools in order to verify whether they meet the planned objectives. Although all measures can produce considerable environmental effects, the study shows that the choice of their implementation should be driven by the type of pollutant to detect.

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Reverse assignment: calibrating link cost functions and updating demand from traffic counts and time measurements

Cited by 62 publications

References 31 publications

The role of demand models in evacuation

The role of demand models in evacuation

The role of ITS in evacuation route optimization for emergency vehicles

Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results

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