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Recent statistics shows that CO2 emissions from road transport have been increasing. In addition, the paradigm of “more electric vehicles” does not seem to be positive from the environmental point of view. In fact, assuming the current energy mix system, studies focusing on Life Cycle Assessment and Well-To-Wheels analysis demonstrate that electric vehicles are less eco-friendly than traditional internal combustion-based engines. Then, it is mandatory to shift toward renewable energy sources to produce electricity with less CO2 emission. In this work, it is proposed to use a new e-vehicles charging system based on Pumps used as Turbine (PATs). This system uses the pressure in excess that could be available in a water distribution network (WDN). Such an excess of pressure is usually destroyed by pressure-reducing valves with the aim to reduce water leaks. PATs are also able to reduce water pressure and produce electrical energy that can be supplied to e-vehicles charging stations. Then, a bi-level methodology to design and optimize the e-charging stations system for (individual or shared) e-bikes and/or e-scooters is proposed. The method allows determining the optimal number of e-vehicles, charging stations docks, and PATs on the study area according to the WDN layout and hydraulic properties as well as the road network characteristics and demand of e-vehicles. The potential of the methodology is shown by an application to a real case study.
Gabriella Balacco; Mario Binetti; Leonardo Caggiani; Michele Ottomanelli. A Novel Distributed System of e-Vehicle Charging Stations Based on Pumps as Turbine to Support Sustainable Micromobility. Sustainability 2021, 13, 1847 .
AMA StyleGabriella Balacco, Mario Binetti, Leonardo Caggiani, Michele Ottomanelli. A Novel Distributed System of e-Vehicle Charging Stations Based on Pumps as Turbine to Support Sustainable Micromobility. Sustainability. 2021; 13 (4):1847.
Chicago/Turabian StyleGabriella Balacco; Mario Binetti; Leonardo Caggiani; Michele Ottomanelli. 2021. "A Novel Distributed System of e-Vehicle Charging Stations Based on Pumps as Turbine to Support Sustainable Micromobility." Sustainability 13, no. 4: 1847.
Car-Sharing Systems (CSSs) are becoming increasingly popular in urban areas replacing car ownership. The most attractive CSSs give users the opportunity to make one-way trips. This behavior creates an unbalanced status between stations. Hence, some users could leave the system because they may not find a car/parking place available near their origin/destination. In recent years, CSSs are employing Electric Vehicles (EVs). A recent technology applied to EVs, called Vehicle-to-Grid (V2G), has allowed selling energy, transferring it from vehicle batteries to an electric grid. In this paper, we adopt Electric Cars (ECs) with V2G for one-way station-based CSSs. We suggest ECs distribution among stations at the beginning of each day, simultaneously making the most of V2G technology and satisfying CSSs customers’ requests. These distributions represent the final configurations that should be obtained through overnight vehicle relocation. The proposed models have been applied to a real-sized case achieving promising results.
Leonardo Caggiani; Luigi Pio Prencipe; Michele Ottomanelli. A static relocation strategy for electric car-sharing systems in a vehicle-to-grid framework. Transportation Letters 2020, 13, 219 -228.
AMA StyleLeonardo Caggiani, Luigi Pio Prencipe, Michele Ottomanelli. A static relocation strategy for electric car-sharing systems in a vehicle-to-grid framework. Transportation Letters. 2020; 13 (3):219-228.
Chicago/Turabian StyleLeonardo Caggiani; Luigi Pio Prencipe; Michele Ottomanelli. 2020. "A static relocation strategy for electric car-sharing systems in a vehicle-to-grid framework." Transportation Letters 13, no. 3: 219-228.
Pollutant emissions, noise and other externalities generated by heavy infrastructures, might impact negatively on real estate values. To test this effect, this paper presents the results of an analysis based on Hedonic Linear Regression, Spatial Hedonic Linear Regression and Hedonic Geographically Weighted Regression models, carried out for the study case of the province of Taranto (Italy). The biggest steel factory in Europe is located here, and some population movements have been observed in relation to the high levels of pollution in the areas close to the factory. The variables used to measure the impact of externalities are of two types: objective indicators such as the distance from the industrial area and the levels of NO2 and PM10, and subjective indicators such as the level of pollution and noise perceived by the population. Results show that the distance from factory was a positive factor in the real estate prices although not always clearly significant, and among pollution indicators, only high levels of NO2 had a negative effect. The accessibility to employment did not prove to be a significant variable in the real estate prices, which indicates that factors related to environmental quality have a greater weight in residential location. Moreover, models including subjective indicators do not show better estimates than models considering only objective indicators. Finally, spatial regression models were useful to analyse the spatial dependence and spatial heterogeneity observed in the data.
Ruben Cordera; Vincenza Chiarazzo; Michele Ottomanelli; Luigi Dell’Olio; Ángel Ibeas; Enza Chiarazzo. The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study. Transport Policy 2019, 80, 177 -187.
AMA StyleRuben Cordera, Vincenza Chiarazzo, Michele Ottomanelli, Luigi Dell’Olio, Ángel Ibeas, Enza Chiarazzo. The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study. Transport Policy. 2019; 80 ():177-187.
Chicago/Turabian StyleRuben Cordera; Vincenza Chiarazzo; Michele Ottomanelli; Luigi Dell’Olio; Ángel Ibeas; Enza Chiarazzo. 2019. "The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study." Transport Policy 80, no. : 177-187.
Over the past decade, the number of ongoing bike-sharing programs has remarkably risen. In this framework, operators need appropriate methodologies to support them in optimizing the allocation of their resources to globally enhance the bike-sharing program, even without massive and costly interventions on the existing configuration of the system. In this paper, we propose an optimization model able to determine how to employ a given budget to enhancing a bike-sharing system, maximizing the global user satisfaction. During the day, each bicycle station has a certain number of bikes that fluctuates according to the travel demand; it happens, however, that for certain time slots, the station is full or empty. Then, we propose to consider as key performance indicators the zero-vehicle time and the full-port time, that reflected respectively the duration of vehicle shortage and parking stall unavailability in the stations. Both these indicators, together with the lost users of the system, need to be kept to a minimum if the final aim is maximizing the customer satisfaction, i.e. not forcing the user to use other stations or turn/shift to other travel modes. We have analyzed the historical usage patterns of the bike-sharing stations, smoothing their trends (by wavelets), and operated a preliminary spatio-temporal clustering. Our model verifies the necessity of adding or removing racks to each station, setting at the same time the optimal number of bikes to allocate in them, and decide the eventual realization of further stations. Then, an application, both on a small test and a real-size network, is presented, together with a sensitivity analysis.
Leonardo Caggiani; Rosalia Camporeale; Mario Marinelli; Michele Ottomanelli. User satisfaction based model for resource allocation in bike-sharing systems. Transport Policy 2019, 80, 117 -126.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Mario Marinelli, Michele Ottomanelli. User satisfaction based model for resource allocation in bike-sharing systems. Transport Policy. 2019; 80 ():117-126.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Mario Marinelli; Michele Ottomanelli. 2019. "User satisfaction based model for resource allocation in bike-sharing systems." Transport Policy 80, no. : 117-126.
In the transportation literature, equity has been and is still used with a variety of meanings and purposes. Traditionally, equity has been considered in strategic transport planning but very few works have been addressing it in a quantitative way, detailing how to explicitly consider it at a transportation design level (tactical and/or operational) focusing on the consequent social role of transportation. This paper deal with how quantitatively incorporate spatial and social equity principles in the Transit Network Design Problem. With respect our previous preliminary study, this paper goes a step further in the definition of the solution to the problem, proposing a starting candidate route set generation procedure as preliminary step to solve before the main optimization. The objective function considers at the same time the cost of users, operators and unsatisfied demand, and a comprehensive horizontal and vertical equity indicator is also specified among the constraints of the problem. An extensive sensitivity analysis investigates how the costs of the system vary with respect to the achieved level of equity. Then, an application to a real case of study is presented to validate of the proposed methodology and highlight its usefulness and performances.
Rosalia Camporeale; Leonardo Caggiani; Michele Ottomanelli. Modeling horizontal and vertical equity in the public transport design problem: A case study. Transportation Research Part A: Policy and Practice 2019, 125, 184 -206.
AMA StyleRosalia Camporeale, Leonardo Caggiani, Michele Ottomanelli. Modeling horizontal and vertical equity in the public transport design problem: A case study. Transportation Research Part A: Policy and Practice. 2019; 125 ():184-206.
Chicago/Turabian StyleRosalia Camporeale; Leonardo Caggiani; Michele Ottomanelli. 2019. "Modeling horizontal and vertical equity in the public transport design problem: A case study." Transportation Research Part A: Policy and Practice 125, no. : 184-206.
Bruno Dalla. Chiara; Antonio Musso; Michele Ottomanelli. Sustainable cities: Innovative solutions for mobility and logistics. Transport Policy 2019, 80, 94 -96.
AMA StyleBruno Dalla. Chiara, Antonio Musso, Michele Ottomanelli. Sustainable cities: Innovative solutions for mobility and logistics. Transport Policy. 2019; 80 ():94-96.
Chicago/Turabian StyleBruno Dalla. Chiara; Antonio Musso; Michele Ottomanelli. 2019. "Sustainable cities: Innovative solutions for mobility and logistics." Transport Policy 80, no. : 94-96.
Since bicycles and bike-sharing systems are becoming increasingly important in modern transportation contexts, we suggest in this paper an alternative method to incorporate cycling among the freight transport alternatives within urban areas. We propose pursuing a sustainable initiative of crowdsourced delivery where some of the urban good deliveries may be voluntarily undertaken by users of the free-floating bike-sharing systems while following their prefixed route in exchange for some kind of reward. We believe that a network design model that allows properly allocating the resources of the bike-shared mobility service could improve the potential of crowdshipping, making it a viable support and supplement for the local postal services, and more easily accepted and adopted in urban contexts. An application to a case study has been embodied to show the effectiveness and advantages of our proposal.
Mario Binetti; Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing. Sustainability 2019, 11, 2772 .
AMA StyleMario Binetti, Leonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli. A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing. Sustainability. 2019; 11 (10):2772.
Chicago/Turabian StyleMario Binetti; Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. 2019. "A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing." Sustainability 11, no. 10: 2772.
The implementation of an appropriate pricing policy in an urban area could alleviate both environmental and congestion problems by encouraging a shift towards more sustainable modes of transportation. However, any positive net social welfare balance delivered by the policy can hide unacceptable regressive effects. Therefore, it is crucial to investigate any change in relative levels of accessibility among different categories of transport network users. This study focuses on the application of a cordon-based congestion pricing scheme on a multimodal network, where private cars and public transportation coexist, and includes a sensitivity analysis by varying the size of the charging area and the amount of the toll, for a monocentric urban reality. Taking into account an elastic demand associated with each proposed charging scenario, the related distributional effects are explored using the Theil index, with a quantitative assessment of the inequalities in the accessibility variations across the users of the network.
Rosalia Camporeale; Leonardo Caggiani; Achille Fonzone; Michele Ottomanelli. Study of the accessibility inequalities of cordon-based pricing strategies using a multimodal Theil index. Transportation Planning and Technology 2019, 42, 498 -514.
AMA StyleRosalia Camporeale, Leonardo Caggiani, Achille Fonzone, Michele Ottomanelli. Study of the accessibility inequalities of cordon-based pricing strategies using a multimodal Theil index. Transportation Planning and Technology. 2019; 42 (5):498-514.
Chicago/Turabian StyleRosalia Camporeale; Leonardo Caggiani; Achille Fonzone; Michele Ottomanelli. 2019. "Study of the accessibility inequalities of cordon-based pricing strategies using a multimodal Theil index." Transportation Planning and Technology 42, no. 5: 498-514.
This study suggests an optimization framework to plan and design a network of bike lanes in an urban context, based on equity principles and subject to a given available budget. The novelty of the proposal consists in an objective function that aims at minimizing the existing inequities among different population groups in terms of accessibility/opportunity to the bikeways. The proposed methodology represents a reliable decision support system tool that could help transport authorities/managers to select the priority areas of their future investments related to the cycling infrastructures. To prove the effectiveness and value of the methodology, an application with relevant analysis to a test case study is presented.
Leonardo Caggiani; Rosalia Camporeale; Mario Binetti; Michele Ottomanelli. An urban bikeway network design model for inclusive and equitable transport policies. Transportation Research Procedia 2019, 37, 59 -66.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Mario Binetti, Michele Ottomanelli. An urban bikeway network design model for inclusive and equitable transport policies. Transportation Research Procedia. 2019; 37 ():59-66.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Mario Binetti; Michele Ottomanelli. 2019. "An urban bikeway network design model for inclusive and equitable transport policies." Transportation Research Procedia 37, no. : 59-66.
The purpose of the paper is to analyze performance of major carriers across Europe, with particular focus on those operating in Central and South East Europe. With the ultimate aim of becoming fully integrated into the European Union aviation market, these airlines underwent significant transformations in the last two decades. The study utilizes the Fuzzy Theory-based Data Envelopment Analysis to evaluate efficiency of the airlines since some of the indices (e.g. punctuality) could be subject to imprecise measurement. The set of airlines contains several major airlines operating in Western, Central and South-East Europe in 2008 and 2012, the years that coincide with the economic crisis and overall financial recovery. The results of the model indicate that Central and South-East European carriers tend to be less efficient in comparison to Western counterparts over the period observed, but their overall efficiency has generally improved based on the Malmquist index. Moreover, based on the calculation of the Malmquist index one can reveal that despite the fact that most of the Central and South-East Europe airlines succeeded to increase their technical efficiency through adoption of new technologies, they still remained out of the efficient frontier.
Jovana Kuljanin; Milica Kalić; Leonardo Caggiani; Michele Ottomanelli. A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe. Journal of Air Transport Management 2019, 78, 152 -163.
AMA StyleJovana Kuljanin, Milica Kalić, Leonardo Caggiani, Michele Ottomanelli. A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe. Journal of Air Transport Management. 2019; 78 ():152-163.
Chicago/Turabian StyleJovana Kuljanin; Milica Kalić; Leonardo Caggiani; Michele Ottomanelli. 2019. "A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe." Journal of Air Transport Management 78, no. : 152-163.
Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli; Wai Yuen Szeto. A modeling framework for the dynamic management of free-floating bike-sharing systems. Transportation Research Part C: Emerging Technologies 2018, 87, 159 -182.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli, Wai Yuen Szeto. A modeling framework for the dynamic management of free-floating bike-sharing systems. Transportation Research Part C: Emerging Technologies. 2018; 87 ():159-182.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli; Wai Yuen Szeto. 2018. "A modeling framework for the dynamic management of free-floating bike-sharing systems." Transportation Research Part C: Emerging Technologies 87, no. : 159-182.
Recently, several prominent logistic companies in Europe and the USA are seriously considering the idea of using drones launched from trucks and working in parallel to deliver packages. In the relevant literature, a novel problem formulation called travelling salesman problem with drone has been introduced, and some modelling and solution approaches have been presented. Existing approaches are based on the main assumption that the truck can dispatch and pick up a drone only at a node, i.e. the depot or a customer location. Here, the authors present a novel approach aimed to maximise the drone usage in parcel delivering. The authors consider that a truck can deliver and pick a drone up not only at a node but also along a route arc (en route). In this way, the operations of a drone are not strictly related to the customers’ position, but it can serve a wider area along the route. The authors tested the proposed heuristic on benchmark instances and analysed the benefits introduced with the en route approach.
Mario Marinelli; Leonardo Caggiani; Michele Ottomanelli; Mauro Dell'Orco. En route truck–drone parcel delivery for optimal vehicle routing strategies. IET Intelligent Transport Systems 2018, 12, 253 -261.
AMA StyleMario Marinelli, Leonardo Caggiani, Michele Ottomanelli, Mauro Dell'Orco. En route truck–drone parcel delivery for optimal vehicle routing strategies. IET Intelligent Transport Systems. 2018; 12 (4):253-261.
Chicago/Turabian StyleMario Marinelli; Leonardo Caggiani; Michele Ottomanelli; Mauro Dell'Orco. 2018. "En route truck–drone parcel delivery for optimal vehicle routing strategies." IET Intelligent Transport Systems 12, no. 4: 253-261.
Promoting a more sustainable development of urban realities is one of the most important goals of the recent decades. One possible strategy to undertake in order to achieve this objective is the implementation of a road pricing: tolling private cars when passing by certain roads of the network could be a way to tone down the traffic congestion and, at the same time, encourage the shifting towards more sustainable means of transport. In this context, we suggest a method to distribute in a fair way the outcomes/revenues of this pricing strategy. In particular, we propose to design a free-floating bike-sharing system whose resources could be allocated in the territory according to spatial and social equity principles. The relation between the amount of the tolls, the number of days of application of the policy, and the pursued equity is investigated, and both a numerical application (to a test network and to a real case study) and a sensitivity analysis in support of the method are enclosed.
Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy. Journal of Advanced Transportation 2017, 2017, 1 -18.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli. Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy. Journal of Advanced Transportation. 2017; 2017 ():1-18.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. 2017. "Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy." Journal of Advanced Transportation 2017, no. : 1-18.
In this work we describe a path choice model in which costs are represented by fuzzy numbers in order to consider uncertainty of users and trying to overcome some limits of well know logit based choice models. Users’ estimation costs in order to choice a route over a road network is made in a real uncertain, imprecise and ambiguous environment. As suggested by research in this field, fuzzy numbers is a suitable framework to model such choice context. In this paper, we analyse path costs represented by Fuzzy Numbers. For the fuzzification of the crisp value of the cost we introduce a parameter, that aims at representing the imprecision of users in path cost perception. We assume that users associate a preference index to the paths according to the estimated costs and that the probability of choice of a path is proportional to the preference index. Moreover, we introduce an index for evaluating the overlapping degree of each path with the others. In this way, we overcome the problem due to the Independence from Irrelevant Alternatives (IIA) of Logit based models, which rises for overlapping paths. The method allows to reproduce user choices as compared to other well established ones.
Mario Binetti; Marco De Mitri; Michele Ottomanelli. Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs. Advances in Intelligent Systems and Computing 2017, 452 -467.
AMA StyleMario Binetti, Marco De Mitri, Michele Ottomanelli. Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs. Advances in Intelligent Systems and Computing. 2017; ():452-467.
Chicago/Turabian StyleMario Binetti; Marco De Mitri; Michele Ottomanelli. 2017. "Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs." Advances in Intelligent Systems and Computing , no. : 452-467.
The gate assignment problem (GAP) is one of the most important problems that operations managers face daily. The GAP aims at determining an assignment of flights to terminal and ramp positions (gates), and an assignment of starting and ending times of the processing of a flight at its position. The objectives related to the flight gate assignment problem (FGAP) include the minimization of the number of flights assigned to remote terminals and the minimization of passengers’ total walking distance. The main aim of this research is to find a novel methodology to solve the FGAP. In this paper, we propose a hybrid approach called Biogeography-based Bee Colony Optimization (B-BCO). This approach is obtained by properly combining two metaheuristics: biogeography-based (BBO) and bee colony optimization (BCO) algorithms. The proposed B-BCO model integrates the BBO migration operator into to bee’s search behavior. The obtained results show the better performances of the proposed approach in solving FGAP when compared to BCO.
Mario Marinelli; Gianvito Palmisano; Mauro Dell’Orco; Michele Ottomanelli. Optimizing Airport Gate Assignments Through a Hybrid Metaheuristic Approach. Advances in Intelligent Systems and Computing 2017, 389 -404.
AMA StyleMario Marinelli, Gianvito Palmisano, Mauro Dell’Orco, Michele Ottomanelli. Optimizing Airport Gate Assignments Through a Hybrid Metaheuristic Approach. Advances in Intelligent Systems and Computing. 2017; ():389-404.
Chicago/Turabian StyleMario Marinelli; Gianvito Palmisano; Mauro Dell’Orco; Michele Ottomanelli. 2017. "Optimizing Airport Gate Assignments Through a Hybrid Metaheuristic Approach." Advances in Intelligent Systems and Computing , no. : 389-404.
Leonardo Caggiani; Rosalia Camporeale; Mario Binetti; Michele Ottomanelli. A road network design model considering horizontal and vertical equity: Evidences from an empirical study. Case Studies on Transport Policy 2017, 5, 392 -399.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Mario Binetti, Michele Ottomanelli. A road network design model considering horizontal and vertical equity: Evidences from an empirical study. Case Studies on Transport Policy. 2017; 5 (2):392-399.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Mario Binetti; Michele Ottomanelli. 2017. "A road network design model considering horizontal and vertical equity: Evidences from an empirical study." Case Studies on Transport Policy 5, no. 2: 392-399.
The attractiveness of cycling- and in particular of bike-sharing systems-as a sustainable alternative of transportation is constantly growing, given the undeniable benefits associated with it. The aim of this paper is to present a multi-objective model based on a Fuzzy Inference System to be embedded in a mobile application that could assist cyclists in the selection of the smartest route to follow to reach their destination, in terms of travel costs (distance or time), level of air pollution and road safety. The features of the bike-sharing system (both traditional and free-floating) are considered in the generation of the final path, and also the starting and final stations to prefer (or the closest bike to pick up for the free-floating option) are provided. The proposed optimization model is dynamic, as it is synchronized with geolocated real time data regarding level of congestion and flows on the network, and availability of bikes/racks in the bike-sharing system. The mobile app gives bike users the possibility to plan, personalize and execute their trip with turn-by-turn guidance, allowing them to select the default optimal path, or to choose the desired travel time among the available route options, each of them accompanied by the related air pollution and safety. An application of the model is carried out through a test case to evaluate the proposed approach. Furthermore, a first study regarding the graphic interface of the mobile platform is presented to recommend some guidelines to follow to have a final product effective and bike users-friendly. The final goal is to improve the cycling experience, encouraging at the same time more people to elect the bike as their preferred mode of transportation.
Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. A real time multi-objective cyclists route choice model for a bike-sharing mobile application. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2017, 645 -650.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli. A real time multi-objective cyclists route choice model for a bike-sharing mobile application. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2017; ():645-650.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. 2017. "A real time multi-objective cyclists route choice model for a bike-sharing mobile application." 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) , no. : 645-650.
Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. Facing equity in transportation Network Design Problem: A flexible constraints based model. Transport Policy 2017, 55, 9 -17.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli. Facing equity in transportation Network Design Problem: A flexible constraints based model. Transport Policy. 2017; 55 ():9-17.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. 2017. "Facing equity in transportation Network Design Problem: A flexible constraints based model." Transport Policy 55, no. : 9-17.
Intelligent transportation systems (ITS) work by collections of data in real time. Average speed, travel time and delay at intersections are some of the most important measures, often used for monitoring the performance of transportation systems, and useful for system management and planning. In urban transportation planning, intersections are usually considered critical points, acting as bottlenecks and clog points for urban traffic. Thus, detecting the travel time at intersections in different turning directions is an activity useful to improve the urban transport efficiency. Smartphones represent a low-cost technology, with which is possible to obtain information about traffic state. However, smartphone GPS data suffer for low precision, mainly in urban areas. In this paper, we present a fuzzy set-based method for car positioning identification within road lanes near intersections using GPS data coming from smartphones. We have introduced the fuzzy sets to take into account uncertainty embedded in GPS data when trying to identify the position of cars within the road lanes. Moreover, we introduced a Genetic Algorithm to calibrate the fuzzy parameters in order to obtain a novel supervised clustering technique. We applied the proposed method to one intersection in the urban road network of Bari (Italy). First results reveal the effectiveness of the proposed methodology when comparing the outcomes of the proposed method with two well-known clustering techniques (Fuzzy C-means, K-means).
Mario Marinelli; Gianvito Palmisano; Vittorio Astarita; Michele Ottomanelli; Mauro Dell’Orco. A Fuzzy set-based method to identify the car position in a road lane at intersections by smartphone GPS data. Transportation Research Procedia 2017, 27, 444 -451.
AMA StyleMario Marinelli, Gianvito Palmisano, Vittorio Astarita, Michele Ottomanelli, Mauro Dell’Orco. A Fuzzy set-based method to identify the car position in a road lane at intersections by smartphone GPS data. Transportation Research Procedia. 2017; 27 ():444-451.
Chicago/Turabian StyleMario Marinelli; Gianvito Palmisano; Vittorio Astarita; Michele Ottomanelli; Mauro Dell’Orco. 2017. "A Fuzzy set-based method to identify the car position in a road lane at intersections by smartphone GPS data." Transportation Research Procedia 27, no. : 444-451.
Recently, vehicle sharing emerged as a new type of mobility service. In particular, if these systems happen to be free-floating, their operating area is typically located within the city and vehicles could be picked-up and parked in any permitted spot, and not only at predetermined stations. This specific feature enables everyone to pick-up and drop-off a rented vehicle close to his demand points, with no need to visit a station before or after the ride, granting greater flexibility for users together with the opportunity of a shorter trip. Free-floating systems, due to their inherent characteristics, are becoming more popular; however, at the same time, they involve additional operational challenges especially in facing the relocation processes, namely displacing vehicles from areas with higher concentration toward those with a higher request of the service. Similar to the station based ones, free-floating vehicle shared-use systems deal with significant fluctuations in demand, depending on day/time and area of a city. Therefore, we suggest a methodology for generating a dynamic zone clustering in order to define cost-efficient relocation strategies. The aim of the proposed flexible clusterization is identifying the optimal size and number of areas among which perform an effective and enhanced vehicle repositioning, reducing the necessity to move vehicles from one zone to another and, accordingly, shrinking the relocation costs. The proposed method is applied to a test case study, in order to verify the accuracy of the suggested model.
Leonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. A dynamic clustering method for relocation process in free-floating vehicle sharing systems. Transportation Research Procedia 2017, 27, 278 -285.
AMA StyleLeonardo Caggiani, Rosalia Camporeale, Michele Ottomanelli. A dynamic clustering method for relocation process in free-floating vehicle sharing systems. Transportation Research Procedia. 2017; 27 ():278-285.
Chicago/Turabian StyleLeonardo Caggiani; Rosalia Camporeale; Michele Ottomanelli. 2017. "A dynamic clustering method for relocation process in free-floating vehicle sharing systems." Transportation Research Procedia 27, no. : 278-285.