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Braess' paradox is a classical result in the theory of congestion games. It motivates theoretically why adding a resource (e.g., an arc) to a network may sometimes worsen, rather than improve, the overall network performance. Differently from previous literature, which studies Braess' paradox in a non‐cooperative game‐theoretic setting, in this work, a framework is proposed to investigate its occurrence by exploiting cooperative games with transferable utility (TU games) on networks. In this way, instead of focusing on the marginal contribution to the network utility provided by the insertion of an arc when a single initial scenario is considered, the arc average marginal utility with respect to various initial scenarios, that is, its Shapley value in a suitably‐defined TU game, is evaluated. It is shown that, for choices of the utility function of the TU game modeling congestion, there are cases for which the Shapley value associated with an arc is negative, meaning that its average marginal contribution to the network utility is negative.
Mauro Passacantando; Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti. Braess' paradox: A cooperative game‐theoretic point of view. Networks 2021, 1 .
AMA StyleMauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti. Braess' paradox: A cooperative game‐theoretic point of view. Networks. 2021; ():1.
Chicago/Turabian StyleMauro Passacantando; Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti. 2021. "Braess' paradox: A cooperative game‐theoretic point of view." Networks , no. : 1.
The importance of transfer points in public transport networks is estimated by exploiting an approach based on transferable utility cooperative games, which integrates the network topology and the demands. Transfer points are defined as clusters of nearby stops, from which it is easily possible to switch between routes. The methodology is based on a solution concept from cooperative game theory, known as Shapley value. A special formulation of the game is developed for public transport networks with an emphasis on transfers. Based on such a game, the Shapley value is evaluated as an attribute of each transfer point to measure its relative importance: the greater the associated value, the larger the relevance. Due to the computational requirements of the Shapley value calculation for large-size networks, a Monte Carlo approximation is investigated and adopted. A case study of a real-world network is presented to demonstrate the model’s viability.
Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti. Public transport transfers assessment via transferable utility games and Shapley value approximation. Transportmetrica A: Transport Science 2020, 17, 540 -565.
AMA StyleGiorgio Gnecco, Yuval Hadas, Marcello Sanguineti. Public transport transfers assessment via transferable utility games and Shapley value approximation. Transportmetrica A: Transport Science. 2020; 17 (4):540-565.
Chicago/Turabian StyleGiorgio Gnecco; Yuval Hadas; Marcello Sanguineti. 2020. "Public transport transfers assessment via transferable utility games and Shapley value approximation." Transportmetrica A: Transport Science 17, no. 4: 540-565.
In recent years, due to environmental concerns, there has been an increasing desire to develop alternative solutions to traditional energy sources. Since transportation is a significant fossil-fuel consumer, the development of electric vehicles, especially buses, has the potential to reduce fossil-fuel use and thus provide a better living environment. The aim of the current work was to develop an optimal allocation model for designing a system-wide network of wireless bus charging stations. The main advantages of wireless charging are the need for a much smaller battery and the fact that the charging process may occur under both static and dynamic (in-motion) conditions. The suggested approach consisted of a multi-objective model that selected the locations for the charging stations while (a) minimizing the costs, (b) maximizing the environmental benefit, and (c) minimizing the number of charging stations. The problem was formulated as a multi-objective non-linear optimization model with both deterministic and stochastic variations. An efficient genetic algorithm was introduced to solve the problem. A test case was used to demonstrate the model; accordingly, the decision-maker was provided with a solution set from which the best fit solution could be selected.
Oren E. Nahum; Yuval Hadas. Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact. Sustainability 2020, 12, 2318 .
AMA StyleOren E. Nahum, Yuval Hadas. Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact. Sustainability. 2020; 12 (6):2318.
Chicago/Turabian StyleOren E. Nahum; Yuval Hadas. 2020. "Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact." Sustainability 12, no. 6: 2318.
A basic question in network analysis concerns the quantification of the importance of each node in terms of network connectivity. To this end, a possible approach consists in using cooperative game theory tools to define a measure of node centrality. In this paper, given a transportation network, a cooperative game model with transferable utility (TU game) is considered. The nodes of the network represent the players in such a game, and the Shapley values of the nodes are used to measure centrality. The model, called Transportation Network cooperative (TNc) game, integrates within the utility function of the TU game the network topology and the demand. Properties of TNc games and their associated utility functions are investigated. Numerical results are reported, to get insights into the obtained properties.
Giorgio Gnecco; Yuval Hadas; Marcello Sanguineti. Some properties of transportation network cooperative games. Networks 2019, 74, 161 -173.
AMA StyleGiorgio Gnecco, Yuval Hadas, Marcello Sanguineti. Some properties of transportation network cooperative games. Networks. 2019; 74 (2):161-173.
Chicago/Turabian StyleGiorgio Gnecco; Yuval Hadas; Marcello Sanguineti. 2019. "Some properties of transportation network cooperative games." Networks 74, no. 2: 161-173.
Subeh Chowdhury; Yuval Hadas; Vicente A. Gonzalez; Bart Schot. Public transport users' and policy makers' perceptions of integrated public transport systems. Transport Policy 2018, 61, 75 -83.
AMA StyleSubeh Chowdhury, Yuval Hadas, Vicente A. Gonzalez, Bart Schot. Public transport users' and policy makers' perceptions of integrated public transport systems. Transport Policy. 2018; 61 ():75-83.
Chicago/Turabian StyleSubeh Chowdhury; Yuval Hadas; Vicente A. Gonzalez; Bart Schot. 2018. "Public transport users' and policy makers' perceptions of integrated public transport systems." Transport Policy 61, no. : 75-83.
Yuval Hadas; Giorgio Gnecco; Marcello Sanguineti. An approach to transportation network analysis via transferable utility games. Transportation Research Part B: Methodological 2017, 105, 120 -143.
AMA StyleYuval Hadas, Giorgio Gnecco, Marcello Sanguineti. An approach to transportation network analysis via transferable utility games. Transportation Research Part B: Methodological. 2017; 105 ():120-143.
Chicago/Turabian StyleYuval Hadas; Giorgio Gnecco; Marcello Sanguineti. 2017. "An approach to transportation network analysis via transferable utility games." Transportation Research Part B: Methodological 105, no. : 120-143.
One of the most important logistics problems in the field of transportation and distribution is the Vehicle Routing Problem (VRP). In general, VRP is concerned with the determination of a minimum-cost set of routes for distribution and pickup of goods for a fleet of vehicles, while satisfying given constraints. Today, most VRPs are set up with a single objective function, minimizing costs, ignoring the fact that most problems encountered in logistics are multi-objective in nature (maximizing customers’ satisfaction and so on), and that for both deterministic and stochastic VRPs, the solution is based on a pre-determined set of routes. Technological advancements make it possible to operate vehicles using real-time information. Since VRP is a NP-Hard problem, it cannot be solved to optimality using conventional methods; therefore, the paper presents a heuristic framework for solving the problem. In real-time dynamic problems, a solution is given based on known data, as time progresses, new data are added to the problem, and the initial solution has to be re-evaluated in order to suit the new data. This is usually done at pre-defined time intervals. If the time intervals are small enough, thus, at each time interval the amount of information added is limited. Therefore, the new solution will be similar to the previous one. Due to the fact that the result is a solution set, not a single solution, and one solution is to be selected within a short time window, it is necessary to automatically select a single solution. For that, a framework, based on traditional and evolutionary multi-objective optimization algorithms, which incorporate multi-criteria decision making methods, for solving real-time multi-objective vehicle routing problems is presented.
Oren E. Nahum; Yuval Hadas. A Framework for Solving Real-Time Multi-objective VRP. Advances in Intelligent Systems and Computing 2017, 103 -120.
AMA StyleOren E. Nahum, Yuval Hadas. A Framework for Solving Real-Time Multi-objective VRP. Advances in Intelligent Systems and Computing. 2017; ():103-120.
Chicago/Turabian StyleOren E. Nahum; Yuval Hadas. 2017. "A Framework for Solving Real-Time Multi-objective VRP." Advances in Intelligent Systems and Computing , no. : 103-120.
Real-time voice and video streaming applications require a certain Quality of Service (QoS) level for providing user satisfaction. As Wireless Local Area Networks (WLAN's) are not designed for such applications, assessing the communication's QoS level is a challenging task. Sudden Onset Disasters (SODs) poses even a greater challenge as the QoS level must be assessed without generating traffic or consuming any other network resources that the response forces needs for communicating among themselves. As such, passive measurement is the only viable approach, but it lacks suitable metrics for doing so. In this paper, we briefly review the main QoS parameters and later, we propose two new possible measurements. These measures are an extension of the retry-ratio measurements such as the Frame Retry Ratio (FRR) which reflects the effort-efficiency to communicate through the ratio of the extra effort (retries) to the overall effort. Data Retry-Ratio (DRR) is the ratio of extra data transmitted to the overall transmitted data in a period of time. Airtime Retry-Ratio (ARR) is the ratio of the extra airtime cost to the overall used airtime cost. For exploring the performances of these measures, we have developed and designed a special portable testbed which among other things includes a stratum-1 NTP time server. We used this testbed to explore the relations between active measurements: such as one-way delay, throughput and jitter to passive measurements: one-way throughput, one-way FRR, DDR and ARR. The results of a large field-test reveal that passive measurements can reflect the QoS parameters such as the average throughput and can indicate an asymmetric link similar to one-way delay.
Eyal Berliner; Avi Herbon; Yuval Hadas; Boaz Benmoshe; Amit Dvir. Passive assessment of QoS in a WLAN for Sudden Onset Disasters (SODs). 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) 2017, 712 -717.
AMA StyleEyal Berliner, Avi Herbon, Yuval Hadas, Boaz Benmoshe, Amit Dvir. Passive assessment of QoS in a WLAN for Sudden Onset Disasters (SODs). 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). 2017; ():712-717.
Chicago/Turabian StyleEyal Berliner; Avi Herbon; Yuval Hadas; Boaz Benmoshe; Amit Dvir. 2017. "Passive assessment of QoS in a WLAN for Sudden Onset Disasters (SODs)." 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) , no. : 712-717.
Nepal earthquake, have shown the need for quick response evacuation and assistance routes. Evacuation routes are, mostly, based on the capacities of the roads network. However, in extreme cases, such as earthquakes, roads network infrastructure may adversely affected, and may not supply their required capacities. If for various situations, the potential damage for critical roads can be identify in advance, it is possible to develop an evacuation model, that can be used in various situations to plan the network structure in order to provide fast and safe evacuation.\ud \ud This paper focuses on the development of a model for the design of an optimal evacuation network which simultaneously minimizes construction costs and evacuation time. The model takes into consideration infrastructures vulnerability (as a stochastic function which is dependent on the event location and magnitude), road network, transportation demand and evacuation areas.\ud \ud The paper presents a mathematic model for the presented problem. However, since an optimal solution cannot be found within a reasonable timeframe, a heuristic model is presented as well. The heuristic model is based on evolutionary algorithms, which also provides a mechanism for solving the problem as a stochastic and multi-objective problem
Oren E. Nahum; Yuval Hadas; Riccardo Rossi; Massimiliano Gastaldi; Gregorio Gecchele. Network Design Model with Evacuation Constraints Under Uncertainty. Transportation Research Procedia 2017, 22, 489 -498.
AMA StyleOren E. Nahum, Yuval Hadas, Riccardo Rossi, Massimiliano Gastaldi, Gregorio Gecchele. Network Design Model with Evacuation Constraints Under Uncertainty. Transportation Research Procedia. 2017; 22 ():489-498.
Chicago/Turabian StyleOren E. Nahum; Yuval Hadas; Riccardo Rossi; Massimiliano Gastaldi; Gregorio Gecchele. 2017. "Network Design Model with Evacuation Constraints Under Uncertainty." Transportation Research Procedia 22, no. : 489-498.
Natural and man-created disasters, such as hurricanes, earthquakes, tsunamis, accidents and terrorist attacks, require evacuation and assistance routes. Evacuation routes are mostly based on the capacities of the road network. However, in extreme cases, such as earthquakes, road network infrastructure may adversely be affected, and may not supply their required capacities. If for various situations, the potential damage for critical roads can be identified in advance, it is possible to develop an evacuation model, that can be used in various situations. This paper focuses on the development of a model for the design of an optimal evacuation network which simultaneously minimizes retrofit costs of critical links (bridges, tunnels, etc.) and evacuation time. The model considers infrastructures’ vulnerability (as a stochastic function which is dependent on the event location and magnitude), road network, transportation demand and evacuation areas. Furthermore, the model evaluates the benefits of managed evacuation (system optimum) when compared to unmanaged evacuation (user equilibrium). The paper presents a mathematic model for the presented problem. However, since an optimal solution cannot be found within a reasonable timeframe, a heuristic model is presented as well. This heuristic model is based on evolutionary algorithms, which also provides a mechanism for solving the problem as a multi-objective stochastic problem. Using a real-world data, the algorithm is evaluated and compared to the unmanaged evacuation conditions. The results clearly demonstrate the advantages of managed evacuation, as the average travel time can be reduced by 5% to 30%.
Oren E. Nahum; Yuval Hadas; Mariano Zanini; Carlo Pellegrino; Riccardo Rossi; Massimiliano Gastaldi. Stochastic Multi-Objective Evacuation Model Under Managed and Unmanaged policies. Transportation Research Procedia 2017, 27, 728 -735.
AMA StyleOren E. Nahum, Yuval Hadas, Mariano Zanini, Carlo Pellegrino, Riccardo Rossi, Massimiliano Gastaldi. Stochastic Multi-Objective Evacuation Model Under Managed and Unmanaged policies. Transportation Research Procedia. 2017; 27 ():728-735.
Chicago/Turabian StyleOren E. Nahum; Yuval Hadas; Mariano Zanini; Carlo Pellegrino; Riccardo Rossi; Massimiliano Gastaldi. 2017. "Stochastic Multi-Objective Evacuation Model Under Managed and Unmanaged policies." Transportation Research Procedia 27, no. : 728-735.
Yuval Hadas; Avi Tillman; Tova Rosenbloom; Riccardo Rossi; Massimiliano Gastaldi. Drivers' Attitude Towards Caffeine Chewing Gum As Countermeasure To Driver Task-Related Fatigue. Transportation Research Procedia 2017, 22, 362 -371.
AMA StyleYuval Hadas, Avi Tillman, Tova Rosenbloom, Riccardo Rossi, Massimiliano Gastaldi. Drivers' Attitude Towards Caffeine Chewing Gum As Countermeasure To Driver Task-Related Fatigue. Transportation Research Procedia. 2017; 22 ():362-371.
Chicago/Turabian StyleYuval Hadas; Avi Tillman; Tova Rosenbloom; Riccardo Rossi; Massimiliano Gastaldi. 2017. "Drivers' Attitude Towards Caffeine Chewing Gum As Countermeasure To Driver Task-Related Fatigue." Transportation Research Procedia 22, no. : 362-371.
As communication is the most fundamental resource for a smart city, it cannot allow any disruption with the related services. Therefore, real-time monitoring systems for the QoS state for the communication infrastructure are vital. Such systems that can detect communications failure can be used also for redeploying emergency and ad-hoc communications infrastructures. Sudden-Onset Disasters (SOD) typically generate system-wide infrastructure breakdowns, including communication. Robust, and efficient communication between the first-responders is crucial for the relief efforts to succeed. Deploying a modern and advanced emergency communication infrastructure requires complicated online-mechanisms and raises several technical challenges. Recent major sudden-onset disasters such as the Fukushima nuclear accident in 2011, the Haiti earthquake in 2010 and the flood in New Orleans in 2005, demonstrated the need to improve the existing technology and make it accessible for rapid deployment on a large scale by non-technical personnel. In this paper, we present a communication infrastructure deployment model suited for the first responders' activity at the scene of a sudden-onset disaster. The model relies on a real-time QoS state monitoring system for reliably predicting communication loss by leveraging the retransmission rate of the users as a link state predictor. This online mechanism can be pre-implemented in the smart city communication infrastructure for day-to-day use and in an SOD scenario as a communication redeployment tool that helps the first-response concentrate their efforts on lifesaving actions. The conceptual model was implemented and tested successfully using 802.11 technology thus demonstrating that it can be effectively used as smart city communication solution.
Eyal Berliner; Boaz Benmoshe; Amit Dvir; Yuval Hadas. Wireless infrastructure deployment model for sudden-onset disasters through real-time monitoring. 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) 2016, 194 -200.
AMA StyleEyal Berliner, Boaz Benmoshe, Amit Dvir, Yuval Hadas. Wireless infrastructure deployment model for sudden-onset disasters through real-time monitoring. 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD). 2016; ():194-200.
Chicago/Turabian StyleEyal Berliner; Boaz Benmoshe; Amit Dvir; Yuval Hadas. 2016. "Wireless infrastructure deployment model for sudden-onset disasters through real-time monitoring." 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) , no. : 194-200.
This study presents a multi-objective approach for selecting an optimal network of public transport (PT) priority lanes. Bus priority schemes and techniques on urban roads and highways have proven effective for increasing reliability, efficiency, and faster travel times. This study develops a multi-objective model for selecting an optimal PT priority lanes network that 1) maximizes total travel time savings; 2) maintains balanced origin and destination terminals; and 3) minimizes the construction budget. In contrast to commonly used single objective models, which must be executed numerous times in order to provide the decision-maker with feasible solutions, multi-objective models exhibit a complete set of feasible and optimal solutions with a single execution. Since the major disadvantage of a multi-objective model is the need to select a preferred solution from a set, a multi-criteria approach was developed for: 1) ranking each decision-maker's solutions; and 2) selecting a compromise solution acceptable to a group of decision-makers. This methodology is demonstrated with a case study of Petah Tikva, a medium-sized city in Israel.
Yuval Hadas; Oren E. Nahum. Urban bus network of priority lanes: A combined multi-objective, multi-criteria and group decision-making approach. Transport Policy 2016, 52, 186 -196.
AMA StyleYuval Hadas, Oren E. Nahum. Urban bus network of priority lanes: A combined multi-objective, multi-criteria and group decision-making approach. Transport Policy. 2016; 52 ():186-196.
Chicago/Turabian StyleYuval Hadas; Oren E. Nahum. 2016. "Urban bus network of priority lanes: A combined multi-objective, multi-criteria and group decision-making approach." Transport Policy 52, no. : 186-196.
This study analyzed driver passive task-related fatigue caused by a monotonous environment and the effectiveness of caffeinated chewing gum as a countermeasure. Data collected by a driving simulator in the laboratory were used to measure changes in driving performance. A self-perceived measure of fatigue was also analyzed. Seventy-two subjects were asked to drive for 70 min along a straight road after receiving one of the following substances (treatments): caffeinated chewing gum, a cup of coffee, or placebo chewing gum. The 72 subjects were subdivided into three groups of 24 each, and all participants were asked to take part in two driving sessions: one control drive without administration (no treatment) and one with administration (one of the treatments). The negative effects on driving performance of prolonged driving and the effectiveness of the standard deviation of the lateral position in representing worsening driving performance were demonstrated. This analysis indicated that intake of caffeine in the form of caffeinated chewing gum (100 mg caffeine) improved driving performance in less than 10 min. Drinking an ordinary cup of coffee (with the same caffeine content) did not improve driving performance in the same short time interval.
Massimiliano Gastaldi; Riccardo Rossi; Yuval Hadas; Davide Fasan; Nir Keren; Claudio Mulatti. Caffeinated Chewing Gum as Countermeasure to Drivers’ Passive Task-Related Fatigue Caused by Monotonous Roadway. Transportation Research Record: Journal of the Transportation Research Board 2016, 2602, 26 -34.
AMA StyleMassimiliano Gastaldi, Riccardo Rossi, Yuval Hadas, Davide Fasan, Nir Keren, Claudio Mulatti. Caffeinated Chewing Gum as Countermeasure to Drivers’ Passive Task-Related Fatigue Caused by Monotonous Roadway. Transportation Research Record: Journal of the Transportation Research Board. 2016; 2602 (1):26-34.
Chicago/Turabian StyleMassimiliano Gastaldi; Riccardo Rossi; Yuval Hadas; Davide Fasan; Nir Keren; Claudio Mulatti. 2016. "Caffeinated Chewing Gum as Countermeasure to Drivers’ Passive Task-Related Fatigue Caused by Monotonous Roadway." Transportation Research Record: Journal of the Transportation Research Board 2602, no. 1: 26-34.
This study developed a tool that can be used by planners to assess the quality of their regional public transport plan and to produce a well-integrated system. The five attributes of integration—network integration, integrated timed transfer, integrated physical connection for transfers, information integration, and fare and ticketing integration—were adopted to develop a framework that illustrated the relationship between them. The tool was composed of the developed framework and a multicriterion decision-making approach; three steps were required to complete the assessment. In Step 1, each integration attribute was scored at an upper level and for each subattribute based on the information provided in the plan. Step 2 involved the analytical hierarchy approach, a multicriterion decision-making tool, to determine the weight of each attribute on the basis of its importance. The final step was to calculate the total weighted score of the plan. The novelty of the approach was the integration of a well-defined and easy-to-use framework with a systematic, hierarchical weighting model. Two case studies were undertaken to demonstrate the use of the tool: the regional plans of New Zealand’s two most metropolitan cities, Auckland and Wellington. The results demonstrate that the tool can be used to assess the quality of public transport plans for integration. The tool’s ability to indicate deficiencies can assist decision makers to improve their planning toward a better public transport system.
Subeh Chowdhury; Yuval Hadas; Muhammad Patel. Tool to Assess Regional Public Transport Plans for Integrated Systems. Transportation Research Record: Journal of the Transportation Research Board 2016, 2543, 116 -124.
AMA StyleSubeh Chowdhury, Yuval Hadas, Muhammad Patel. Tool to Assess Regional Public Transport Plans for Integrated Systems. Transportation Research Record: Journal of the Transportation Research Board. 2016; 2543 (1):116-124.
Chicago/Turabian StyleSubeh Chowdhury; Yuval Hadas; Muhammad Patel. 2016. "Tool to Assess Regional Public Transport Plans for Integrated Systems." Transportation Research Record: Journal of the Transportation Research Board 2543, no. 1: 116-124.
This paper examines a case study of the SkyCabs system as a way to alleviate some of the traffic problems of Auckland, New Zealand. SkyCabs is an elevated two-way monobeam carrying light eight-seater cabs on tracks on each side of the beam, available on demand, providing fast, pollution-free, unimpeded travel above the footpath with panoramic views of the city. The aim of this study is to investigate the attractiveness of implementing the SkyCabs system to and from Auckland central business district (CBD) and Auckland international airport by examining four variables: different routes, different number of stops/stations, different passenger demand levels, and different number of cabs in the system. The analysis utilizes geographical information system and simulation tools for the various scenarios considered. The results show that it is possible to assess the cost–benefit of alternative routes in terms of those four variables and rate of return on investment.
Avishai (Avi) Ceder; Yuval Hadas; Nigel K.L. Wan; Dumindu Sundarapperuma. The planning and analysis of a new group rapid transit system: the SkyCabs monobeam system in Auckland. Transportation Planning and Technology 2015, 38, 320 -334.
AMA StyleAvishai (Avi) Ceder, Yuval Hadas, Nigel K.L. Wan, Dumindu Sundarapperuma. The planning and analysis of a new group rapid transit system: the SkyCabs monobeam system in Auckland. Transportation Planning and Technology. 2015; 38 (3):320-334.
Chicago/Turabian StyleAvishai (Avi) Ceder; Yuval Hadas; Nigel K.L. Wan; Dumindu Sundarapperuma. 2015. "The planning and analysis of a new group rapid transit system: the SkyCabs monobeam system in Auckland." Transportation Planning and Technology 38, no. 3: 320-334.
Avi Herbon; Yuval Hadas. Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model. Transportation Research Part B: Methodological 2015, 71, 85 -99.
AMA StyleAvi Herbon, Yuval Hadas. Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model. Transportation Research Part B: Methodological. 2015; 71 ():85-99.
Chicago/Turabian StyleAvi Herbon; Yuval Hadas. 2015. "Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model." Transportation Research Part B: Methodological 71, no. : 85-99.
In emergency situations, it is necessary to safely evacuate the population in order to save lives. The road network infrastructure is vulnerable for extreme events, and as a result its ability to supply the required capacity can be seriously hampered. Hence, it is crucial to identify those critical segments which prohibit safe evacuation, and find an optimal retrofit scheme at the network level in order to minimize evacuation time. This work introduces an emergency evacuation model that considers infrastructures vulnerability, event location and magnitude, road network, transportation demand and evacuation areas in order to identify the critical infrastructures and recommend budget allocation for increasing network capacity for minimizing evacuation time, given budget alternatives. The infrastructures’ analysis was based on the knowledge about mechanics characteristics of a set of bridges, and about a set of possible seismic scenarios related to the area of interest. By using fragility curves of bridges, the damage state of them has been assessed. By making a series of hypotheses on how a bridge damage state can influence links’ functionality, reduced capacity was assigned to the road network. The result is the estimation of the retrofit cost needed for a specific seismic scenario, considering the most effective retrofit intervention type, previously identified for each bridge. The infrastructures’ analysis results were used by the evacuation model for optimal budget allocation of retrofits strategies in order to attain a desired evacuation time frame. The procedure has been applied to an urban network in north Italy.
Yuval Hadas; Riccardo Rossi; Massimiliano Gastaldi; Carlo Pellegrino; Mariano Angelo Zanini; Claudio Modena. Optimal Critical Infrastructure Retrofitting Model for Evacuation Planning. Transportation Research Procedia 2015, 10, 714 -724.
AMA StyleYuval Hadas, Riccardo Rossi, Massimiliano Gastaldi, Carlo Pellegrino, Mariano Angelo Zanini, Claudio Modena. Optimal Critical Infrastructure Retrofitting Model for Evacuation Planning. Transportation Research Procedia. 2015; 10 ():714-724.
Chicago/Turabian StyleYuval Hadas; Riccardo Rossi; Massimiliano Gastaldi; Carlo Pellegrino; Mariano Angelo Zanini; Claudio Modena. 2015. "Optimal Critical Infrastructure Retrofitting Model for Evacuation Planning." Transportation Research Procedia 10, no. : 714-724.
A large proportion of transit travel time is made up by dwell time for passengers boarding and alighting. More accurate modeling and estimation of bus dwell time (BDT) can enhance the efficiency and reliability of the public transportation system. Multiple linear regression (MLR) has been the most commonly used method in the literature for modeling and estimating BDT. However, the underlying assumptions of the MLR method, such as multicollinearity and normality of random error, cannot always be satisfied for real applications. This study developed and implemented two methods based on decision trees (DTs), namely, classification and regression tree and chi-squared automatic interaction detector, for the first time for BDT modeling and estimation. The models were compared with the traditional MLR model after calibrating and validating the new models against the data collected from four bus stops in Auckland, New Zealand. Various error measurements were used to evaluate the accuracy of the models. The DT-based methods eliminated the limitations of the MLR method and provided reliable and accurate estimation of BDT.
Soroush Rashidi; Prakash Ranjitkar; Yuval Hadas. Modeling Bus Dwell Time with Decision Tree-Based Methods. Transportation Research Record: Journal of the Transportation Research Board 2014, 2418, 74 -83.
AMA StyleSoroush Rashidi, Prakash Ranjitkar, Yuval Hadas. Modeling Bus Dwell Time with Decision Tree-Based Methods. Transportation Research Record: Journal of the Transportation Research Board. 2014; 2418 (1):74-83.
Chicago/Turabian StyleSoroush Rashidi; Prakash Ranjitkar; Yuval Hadas. 2014. "Modeling Bus Dwell Time with Decision Tree-Based Methods." Transportation Research Record: Journal of the Transportation Research Board 2418, no. 1: 74-83.
This paper presents a new approach and modeling for selecting an optimal network of public transport (PT) priority lanes. Bus priority schemes and techniques on urban roads and highways have proved effective for almost half a century. Many bus priority studies have been published and demonstrated worldwide, but none has dealt with optimal connected networks of PT priority lanes. The approach used in this study was based on a system wide concept to obtain optimal PT network coverage. Such a PT priority lane network would enable fast and less interrupted vehicle movement, would increase the reliability of transfers, and would provide better adherence to schedule performance. The study developed a model for the optimal selection of a set of PT priority lanes that maximized the total travel time savings and, at the same time, maintained balanced origin and destination terminals, given a budget constraint. An efficient CPLEX model was developed and tested. The model was used in a case study of Petah Tikva, a midsize city in Israel, and produced a successful, optimal network of priority lanes.
Yuval Hadas; Avishai (Avi) Ceder. Optimal Connected Urban Bus Network of Priority Lanes. Transportation Research Record: Journal of the Transportation Research Board 2014, 2418, 49 -57.
AMA StyleYuval Hadas, Avishai (Avi) Ceder. Optimal Connected Urban Bus Network of Priority Lanes. Transportation Research Record: Journal of the Transportation Research Board. 2014; 2418 (1):49-57.
Chicago/Turabian StyleYuval Hadas; Avishai (Avi) Ceder. 2014. "Optimal Connected Urban Bus Network of Priority Lanes." Transportation Research Record: Journal of the Transportation Research Board 2418, no. 1: 49-57.