Transportation Research Part C: Emerging Technologies, 2017
In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' ... more In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. We have introduced a time-dependent Possibility Distribution of Information to model the users' changing perception of travel time also based on current network conditions. Drivers' choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, we present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.
This paper presents a modelling approach based on the Possibility Theory to reproduce drivers'... more This paper presents a modelling approach based on the Possibility Theory to reproduce drivers' choice behaviour under Advanced Traveller Information Systems (ATIS). The Possibility Theory is introduced to model uncertainty embedded in human perception of information through a fuzzy data fusion technique. Drivers' choice models are often developed and calibrated by using, among other, Stated Preferences (SP) surveys. An experiment is presented, aimed at setting up an SP-tool based on driving simulator developed at the Technical University of Bari. The obtained results are analysed in order to compare the outcomes of the proposed model with preferences stated in the experiment.
Computational Science and Its Applications – ICCSA 2012, 2012
In this paper, soft computing and artificial intelligence techniques have been used to define a m... more In this paper, soft computing and artificial intelligence techniques have been used to define a model for simulating users' decisional process in a transportation system. Through this framework, the variables involved are expressed by approximate or linguistic values, like in the humans' reasoning way, in order to forecast users' mode choice behavior. The model has been specified and calibrated using a set of real life data. Results appear good in comparison with those obtained by a classical random utility based model calibrated with the same data, and the methodology seems promising also in case of different applications in the field of choice behavior simulation.
State of the Art in the European Quantitative Oriented Transportation and Logistics Research, 2011, 2011
This research is aimed at investigating the effect of accuracy of ATIS (Advanced Traveller Inform... more This research is aimed at investigating the effect of accuracy of ATIS (Advanced Traveller Information Systems) in terms of route choices and travellers' concordance to informative system. A Stated Preference Experiment has been made by using a Travel Simulator developed at the Technische Universiteit of Delft (The Netherlands). During the experiment respondents have been asked to make repeated route choices in presence of ATIS. Two kinds of information have been tested: descriptive (respondents are provided with the estimated travel times on each route), and prescriptive (respondents are provided with the estimated shortest route). For each kind of information four levels of accuracy have been considered: high, low and two intermediate levels. The main research aims are: 1. investigating the relationship between accuracy of information and travellers' concordance to informative system; 2. investigating the relationship between accuracy of information and route choices. Some preliminary aggregate and statistical analyses have been made; additionally, collected data have been deeply analyzed, and a fuzzy logic approach has been applied in order to reproduce the travellers' behaviour.
Advances in Intelligent Systems and Computing, 2013
Step 0: Initialization. Define the user specified parameters; the number of decision variables (n... more Step 0: Initialization. Define the user specified parameters; the number of decision variables (n), the constraints for each decision variable, the size of bee colony (SN), maximum cycle number (MCN). Step 1: Set t = 1. Step 2: Generate the random initial signal timings within the constraints of decision variables. Step 3: Distribute to the green timings to the stages. Step 4: Get the network data and fixed set of link flows for TRANSYT-7F traffic model. Step 5: Run TRANSYT-7F. Step 6: Get the network PI. At this step, the PI is determined using TRANSYT-7F traffic model. Step 7: If t = MCN then terminate the algorithm; otherwise, t = t+1 and go to Step 2.
The aim of this paper is to find an optimal solution to operational planning of freight transport... more The aim of this paper is to find an optimal solution to operational planning of freight transportation in an industrial district. We propose a system architecture that drives agents-the industrial district firms-to cooperate in logistic field, to minimize transport and environmental costs. The idea is to achieve logistics optimization setting up a community made of district enterprises, preserving a satisfactory level of system efficiency and fairness. We address the situation in which a virtual coordinator helps the agents to reach an agreement. The objectives are: maximizing customers satisfaction, and minimizing the number of trucks needed. A fuzzy clustering (FCM), two Fuzzy Inference System (FIS) combined with a Genetic Algorithm (GA), and a greedy algorithm are thus proposed to achieve these objectives, and eventually an algorithm to solve the Travelling Salesman Problem is also used. The proposed framework can be used to provide real time solutions to logistics management problems, and negative environmental impacts.
The roads existence is due to the mobility need of people that, after the infrastructure construc... more The roads existence is due to the mobility need of people that, after the infrastructure construction, become its users. From this point of view, the road user should play an important role in roads planning, building and maintaining processes. In particular, the roads ...
Abstract. Various natural systems teach us that very simple individual organisms can create syste... more Abstract. Various natural systems teach us that very simple individual organisms can create systems able to perform highly complex tasks by dynamically interacting with each other. The Bee Colony Optimization Metaheuristic (BCO) is proposed in this paper. The artificial bee colony ...
In this paper, soft computing and artificial intelligence techniques have been used to define a m... more In this paper, soft computing and artificial intelligence techniques have been used to define a model for simulating users' decisional process in a transportation system. Through this framework, the variables involved are expressed by approximate or linguistic values, like in the humans' reasoning way, in order to forecast users' mode choice behavior. The model has been specified and calibrated using a set of real life data. Results appear good in comparison with those obtained by a classical random utility based model calibrated with the same data, and the methodology seems promising also in case of different applications in the field of choice behavior simulation.
Transportation Research Part C: Emerging Technologies, 2017
In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' ... more In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. We have introduced a time-dependent Possibility Distribution of Information to model the users' changing perception of travel time also based on current network conditions. Drivers' choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, we present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting... more For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper presents a dynamic O-D demand estimator, using a novel simulation-based DTA algorithm. The core of the proposed algorithm is a mesoscopic dynamic network loading model used in conjunction with a Bee Colony Optimization (BCO). The BCO is capable to solve high level combinatorial problems with fast convergence performances, allowing to overcome classical demand-flow relationships drawbacks.
Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis o... more Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis of efficiency of transportation systems. In real world applications, the data of production processes cannot be precisely measured or can be affected by ambiguity. This is particularly worrying when assessing efficiency with frontier-type models, such as Data Envelopment Analysis (DEA) models, since they are very sensitive to possible data errors. Many research works have faced the problem of using DEA models when the inputs and outputs are uncertain. Fuzzy Theory based methods are one of the approaches that have been recently proposed even without a determined (or unique) framework. In this work we have defined a fuzzy version of the classical DEA models, and, in particular, a feature selection analysis has been developed to investigate the effects of uncertainty on the efficiency of the considered transport services. The feature selection method developed in this paper is based on fuzzy entropy measures and it can be applied to DMUs (Decision Making Units) on the entire frontier. Having identified the efficient and inefficient DMUs in fuzzy DEA analysis, the focus is on the stability of classification of DMUs into efficient and inefficient performers. A numerical example is then presented, considering as DMUs a set of international container ports with given number of inputs and outputs properly modified.
International Journal of Critical Infrastructures, 2007
Abstract: Some recent tragic events in overcrowded situations, as well as the terrorist threat, h... more Abstract: Some recent tragic events in overcrowded situations, as well as the terrorist threat, have highlighted the importance of the availability of good models for pedestrian behaviour under emergency conditions. Existing approaches to crowd models are generally macroscopic ...
Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis o... more Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis of efficiency of transportation systems. In real world applications, the data of production processes cannot be precisely measured or can be affected by ambiguity. This is particularly worrying when assessing efficiency with frontier-type models, such as Data Envelopment Analysis (DEA) models, since they are very sensitive to possible data errors.. Many research works have faced the problem of using DEA models when the inputs and outputs are uncertain. Fuzzy Theory based methods are one of the approaches that have been recently proposed even without a determined (or unique) framework.. In this work we have defined a fuzzy version of the classical DEA models, and, in particular, a feature selection analysis has been developed to investigate the effects of uncertainty on the efficiency of the considered transport services. The feature selection method developed in this paper is based on fuzzy entropy measures and it can be applied to DMUs (Decision Making Units) on the entire frontier. Having identified the efficient and inefficient DMUs in fuzzy DEA analysis, the focus is on the stability of classification of DMUs into efficient and inefficient performers. A numerical example is then presented, considering as DMUs a set of international container ports with given number of inputs and outputs properly modified.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting... more For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper presents a dynamic O-D demand estimator, using a novel simulation-based DTA algorithm. The core of the proposed algorithm is a mesoscopic dynamic network loading model used in conjunction with a Bee Colony Optimization (BCO). The BCO is capable to solve high level combinatorial problems with fast convergence performances, allowing to overcome classical demand-flow relationships drawbacks.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed... more In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed. In particular two kinds of information (descriptive and prescriptive) and four levels of reliability have been tested. A web-based tool has been adopted in order to carry out a stated preference experiment for data collection. The presented research continues previous studies of the authors in the field of travellers' compliance with information and travellers' route choices under ATIS. In previous studies both a discrete choice theory approach and a Mamdani-type Fuzzy Inference System (FIS) were tested. Here several FIS approaches are analysed more in detail. Some preliminary analyses, are recalled from previous research work, furthermore collected data have been deeply analysed through the Sugeno FIS-type approach and by Adaptive-Network-Based FIS. The methods are applied to reproduce travellers' behaviour and are compared with each other to find the best approach.
2006 8th Seminar on Neural Network Applications in Electrical Engineering, 2006
Skip to Main Content. IEEE.org | IEEE Xplore Digital Library | IEEE Standards Association | Spect... more Skip to Main Content. IEEE.org | IEEE Xplore Digital Library | IEEE Standards Association | Spectrum Online | More IEEE Sites. IEEE Xplore Digital Library. Search Term(s). Advanced Search | Preferences | Search Tips. ...
Transportation Research Part C: Emerging Technologies, 2017
In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' ... more In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. We have introduced a time-dependent Possibility Distribution of Information to model the users' changing perception of travel time also based on current network conditions. Drivers' choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, we present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.
This paper presents a modelling approach based on the Possibility Theory to reproduce drivers'... more This paper presents a modelling approach based on the Possibility Theory to reproduce drivers' choice behaviour under Advanced Traveller Information Systems (ATIS). The Possibility Theory is introduced to model uncertainty embedded in human perception of information through a fuzzy data fusion technique. Drivers' choice models are often developed and calibrated by using, among other, Stated Preferences (SP) surveys. An experiment is presented, aimed at setting up an SP-tool based on driving simulator developed at the Technical University of Bari. The obtained results are analysed in order to compare the outcomes of the proposed model with preferences stated in the experiment.
Computational Science and Its Applications – ICCSA 2012, 2012
In this paper, soft computing and artificial intelligence techniques have been used to define a m... more In this paper, soft computing and artificial intelligence techniques have been used to define a model for simulating users' decisional process in a transportation system. Through this framework, the variables involved are expressed by approximate or linguistic values, like in the humans' reasoning way, in order to forecast users' mode choice behavior. The model has been specified and calibrated using a set of real life data. Results appear good in comparison with those obtained by a classical random utility based model calibrated with the same data, and the methodology seems promising also in case of different applications in the field of choice behavior simulation.
State of the Art in the European Quantitative Oriented Transportation and Logistics Research, 2011, 2011
This research is aimed at investigating the effect of accuracy of ATIS (Advanced Traveller Inform... more This research is aimed at investigating the effect of accuracy of ATIS (Advanced Traveller Information Systems) in terms of route choices and travellers' concordance to informative system. A Stated Preference Experiment has been made by using a Travel Simulator developed at the Technische Universiteit of Delft (The Netherlands). During the experiment respondents have been asked to make repeated route choices in presence of ATIS. Two kinds of information have been tested: descriptive (respondents are provided with the estimated travel times on each route), and prescriptive (respondents are provided with the estimated shortest route). For each kind of information four levels of accuracy have been considered: high, low and two intermediate levels. The main research aims are: 1. investigating the relationship between accuracy of information and travellers' concordance to informative system; 2. investigating the relationship between accuracy of information and route choices. Some preliminary aggregate and statistical analyses have been made; additionally, collected data have been deeply analyzed, and a fuzzy logic approach has been applied in order to reproduce the travellers' behaviour.
Advances in Intelligent Systems and Computing, 2013
Step 0: Initialization. Define the user specified parameters; the number of decision variables (n... more Step 0: Initialization. Define the user specified parameters; the number of decision variables (n), the constraints for each decision variable, the size of bee colony (SN), maximum cycle number (MCN). Step 1: Set t = 1. Step 2: Generate the random initial signal timings within the constraints of decision variables. Step 3: Distribute to the green timings to the stages. Step 4: Get the network data and fixed set of link flows for TRANSYT-7F traffic model. Step 5: Run TRANSYT-7F. Step 6: Get the network PI. At this step, the PI is determined using TRANSYT-7F traffic model. Step 7: If t = MCN then terminate the algorithm; otherwise, t = t+1 and go to Step 2.
The aim of this paper is to find an optimal solution to operational planning of freight transport... more The aim of this paper is to find an optimal solution to operational planning of freight transportation in an industrial district. We propose a system architecture that drives agents-the industrial district firms-to cooperate in logistic field, to minimize transport and environmental costs. The idea is to achieve logistics optimization setting up a community made of district enterprises, preserving a satisfactory level of system efficiency and fairness. We address the situation in which a virtual coordinator helps the agents to reach an agreement. The objectives are: maximizing customers satisfaction, and minimizing the number of trucks needed. A fuzzy clustering (FCM), two Fuzzy Inference System (FIS) combined with a Genetic Algorithm (GA), and a greedy algorithm are thus proposed to achieve these objectives, and eventually an algorithm to solve the Travelling Salesman Problem is also used. The proposed framework can be used to provide real time solutions to logistics management problems, and negative environmental impacts.
The roads existence is due to the mobility need of people that, after the infrastructure construc... more The roads existence is due to the mobility need of people that, after the infrastructure construction, become its users. From this point of view, the road user should play an important role in roads planning, building and maintaining processes. In particular, the roads ...
Abstract. Various natural systems teach us that very simple individual organisms can create syste... more Abstract. Various natural systems teach us that very simple individual organisms can create systems able to perform highly complex tasks by dynamically interacting with each other. The Bee Colony Optimization Metaheuristic (BCO) is proposed in this paper. The artificial bee colony ...
In this paper, soft computing and artificial intelligence techniques have been used to define a m... more In this paper, soft computing and artificial intelligence techniques have been used to define a model for simulating users' decisional process in a transportation system. Through this framework, the variables involved are expressed by approximate or linguistic values, like in the humans' reasoning way, in order to forecast users' mode choice behavior. The model has been specified and calibrated using a set of real life data. Results appear good in comparison with those obtained by a classical random utility based model calibrated with the same data, and the methodology seems promising also in case of different applications in the field of choice behavior simulation.
Transportation Research Part C: Emerging Technologies, 2017
In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' ... more In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. We have introduced a time-dependent Possibility Distribution of Information to model the users' changing perception of travel time also based on current network conditions. Drivers' choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, we present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting... more For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper presents a dynamic O-D demand estimator, using a novel simulation-based DTA algorithm. The core of the proposed algorithm is a mesoscopic dynamic network loading model used in conjunction with a Bee Colony Optimization (BCO). The BCO is capable to solve high level combinatorial problems with fast convergence performances, allowing to overcome classical demand-flow relationships drawbacks.
Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis o... more Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis of efficiency of transportation systems. In real world applications, the data of production processes cannot be precisely measured or can be affected by ambiguity. This is particularly worrying when assessing efficiency with frontier-type models, such as Data Envelopment Analysis (DEA) models, since they are very sensitive to possible data errors. Many research works have faced the problem of using DEA models when the inputs and outputs are uncertain. Fuzzy Theory based methods are one of the approaches that have been recently proposed even without a determined (or unique) framework. In this work we have defined a fuzzy version of the classical DEA models, and, in particular, a feature selection analysis has been developed to investigate the effects of uncertainty on the efficiency of the considered transport services. The feature selection method developed in this paper is based on fuzzy entropy measures and it can be applied to DMUs (Decision Making Units) on the entire frontier. Having identified the efficient and inefficient DMUs in fuzzy DEA analysis, the focus is on the stability of classification of DMUs into efficient and inefficient performers. A numerical example is then presented, considering as DMUs a set of international container ports with given number of inputs and outputs properly modified.
International Journal of Critical Infrastructures, 2007
Abstract: Some recent tragic events in overcrowded situations, as well as the terrorist threat, h... more Abstract: Some recent tragic events in overcrowded situations, as well as the terrorist threat, have highlighted the importance of the availability of good models for pedestrian behaviour under emergency conditions. Existing approaches to crowd models are generally macroscopic ...
Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis o... more Recently, great attention has been paid to the data envelopment analysis (DEA) for the analysis of efficiency of transportation systems. In real world applications, the data of production processes cannot be precisely measured or can be affected by ambiguity. This is particularly worrying when assessing efficiency with frontier-type models, such as Data Envelopment Analysis (DEA) models, since they are very sensitive to possible data errors.. Many research works have faced the problem of using DEA models when the inputs and outputs are uncertain. Fuzzy Theory based methods are one of the approaches that have been recently proposed even without a determined (or unique) framework.. In this work we have defined a fuzzy version of the classical DEA models, and, in particular, a feature selection analysis has been developed to investigate the effects of uncertainty on the efficiency of the considered transport services. The feature selection method developed in this paper is based on fuzzy entropy measures and it can be applied to DMUs (Decision Making Units) on the entire frontier. Having identified the efficient and inefficient DMUs in fuzzy DEA analysis, the focus is on the stability of classification of DMUs into efficient and inefficient performers. A numerical example is then presented, considering as DMUs a set of international container ports with given number of inputs and outputs properly modified.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting... more For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper presents a dynamic O-D demand estimator, using a novel simulation-based DTA algorithm. The core of the proposed algorithm is a mesoscopic dynamic network loading model used in conjunction with a Bee Colony Optimization (BCO). The BCO is capable to solve high level combinatorial problems with fast convergence performances, allowing to overcome classical demand-flow relationships drawbacks.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed... more In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed. In particular two kinds of information (descriptive and prescriptive) and four levels of reliability have been tested. A web-based tool has been adopted in order to carry out a stated preference experiment for data collection. The presented research continues previous studies of the authors in the field of travellers' compliance with information and travellers' route choices under ATIS. In previous studies both a discrete choice theory approach and a Mamdani-type Fuzzy Inference System (FIS) were tested. Here several FIS approaches are analysed more in detail. Some preliminary analyses, are recalled from previous research work, furthermore collected data have been deeply analysed through the Sugeno FIS-type approach and by Adaptive-Network-Based FIS. The methods are applied to reproduce travellers' behaviour and are compared with each other to find the best approach.
2006 8th Seminar on Neural Network Applications in Electrical Engineering, 2006
Skip to Main Content. IEEE.org | IEEE Xplore Digital Library | IEEE Standards Association | Spect... more Skip to Main Content. IEEE.org | IEEE Xplore Digital Library | IEEE Standards Association | Spectrum Online | More IEEE Sites. IEEE Xplore Digital Library. Search Term(s). Advanced Search | Preferences | Search Tips. ...
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Papers by Mauro 'Orco