Ernesto Cipriani

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This paper presents an in-depth analysis of the bi-level gradient approximation approach for dynamic traffic demand adjustment and the development of new adaptive approaches. Initially, a comparison between the simultaneous perturbation stochastic approximation (SPSA), asymmetric design (AD), polynomial interpolation (PI) method, which was first proposed by(More)
We extend a ‘surrogate problem’ approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traf- fic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which(More)
The paper presents an in-depth analysis of the bi-level gradient approximation approach for dynamic traffic demand estimation. Initially, a sensitivity analysis of the parameters of Simultaneous Perturbation Stochastic Approximation method (SPSA) with Asymmetric Design (AD) and Polynomial Interpolation (PI), firstly proposed by authors in 2011, is(More)
1 In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their 2 applications in dynamic OD estimation. This is done by discussing the advantages and disadvantages of 3 traffic data with support of the findings of a benchmark study. The benchmark framework is designed to 4 assess the performance of the dynamic(More)
In this paper an automatic validation system for speed measurement devices is described. The system was specifically designed to test speed within the SMART Project, an experimental survey on traffic monitoring devices led by ANAS, the Italian Road Agency. A matrix of infrared sensors was used to implement the system and allow accurate speed measurements(More)
Performances of the traffic models in reproducing congestion phenomena are strongly related to quality of the information about the demand. The problem of calibrating the demand for traffic assignment models is known as Demand Estimation Problem. This paper focuses on improving the reliability of the demand matrix, dealing with the problem of having a(More)
The paper deals with two different heuristic approaches for solving the problem of optimal location of traffic count sections (OLTCS), which is a crucial issue of the design of area wide ITS traffic monitoring centers. The first method applies deterministic rules on O/D flows and O/D pairs coverage. The second is based on a genetic algorithm (GA). Both are(More)
1 BACKGROUND In the last three decades various researchers had been facing the problem of maximizing global network performances by optimizing traffic signals. The main difficulty of the problem arises from the existing interaction between network performance and users' route choice. In fact, drivers make their travel choices in order to minimize their own(More)
The paper illustrates methodology and preliminary results obtained in the project of basic research “Interaction between signal settings and traffic flow patterns on road networks”, funded by the Italian Ministry of University and Research. The object of the project is to develop a general procedure to study, model and solve the problem of the optimal road(More)