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Готові списки джерел за темами / Multi-modal public transport network

Добірка наукової літератури з теми "Multi-modal public transport network"

Автор: Grafiati

Опубліковано: 8 червня 2024

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Статті в журналах з теми "Multi-modal public transport network":

1

Lu, Qing-Chang, and Shan Lin. "Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks." Sustainability 11, no. 7 (April 9, 2019): 2109. http://dx.doi.org/10.3390/su11072109.

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In terms of urban rail transit network vulnerability, most studies have focused on the network topology characteristics and travel cost changes after network incidents and analyzed rail transit network independently. The neglects of passenger flow distributions on the network and alternative public transport modes under rail network disruptions would either underestimate or overestimate the vulnerability of rail transit network, and thus lead to inaccurate results and decisions. This study presents an accessibility-based measurement for urban rail transit network vulnerability analysis and explicitly accounts for rail passenger flow characteristics, travel cost changes, and alternative transit modes. It is shown that the proposed approach is capable of measuring the consequences on rail network, and the advantages of the accessibility method are demonstrated and compared. The methodology is applied to the urban rail transit network of Shenzhen, China within a multi-modal public transport network. Results reveal that the consequences of disruptions on network accessibility are obviously different for stations with different passenger flow characteristics, and some undisrupted stations are found to be vulnerable under surrounding station failures. The proposed methodology offers reliable measurements on rail transit network vulnerability and implications for decision-making under rail network disruptions.

2

Botea, Adi, and Stefano Braghin. "Contingent versus Deterministic Plans in Multi-Modal Journey Planning." Proceedings of the International Conference on Automated Planning and Scheduling 25 (April 8, 2015): 268–72. http://dx.doi.org/10.1609/icaps.v25i1.13691.

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Deterministic planning is the de facto standard in deployed multi-modal journey planning systems. However, in reality, transportation networks feature many types of uncertainty, including variations of the arrival and the departure times of public transport vehicles. Under uncertainty, deterministic plans could result in missed connections, leading to an arrival time much worse than originally planned. We contribute an empirical study using transportation network data from three European cities. We show that, in the presence of uncertainty, contingent plans can often provide significant savings in terms of travel time. We view our results as important because they advocate adopting uncertainty-aware multi-modal journey plans, shifting from the current practice based on using deterministic planning.

3

Rodríguez González, Ana Belén, Juan José Vinagre Díaz, Mark R. Wilby, and Rubén Fernández Pozo. "Data-Driven Performance Evaluation Framework for Multi-Modal Public Transport Systems." Sensors 22, no. 1 (December 21, 2021): 17. http://dx.doi.org/10.3390/s22010017.

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Transport agencies require accurate and updated information about public transport systems for the optimal decision-making processes regarding design and operation. In addition to assessing topology and service components, users’ behaviors must be considered. To this end, a data-driven performance evaluation based on passengers’ actual routes is key. Automatic fare collection platforms provide meaningful smart card data (SCD), but these are incomplete when gathered by entry-only systems. To obtain origin–destination (OD) matrices, we must manage complete journeys. In this paper, we use an adapted trip chaining method to reconstruct incomplete multi-modal journeys by finding spatial similarities between the outbound and inbound routes of the same user. From this dataset, we develop a performance evaluation framework that provides novel metrics and visualization utilities. First, we generate a space-time characterization of the overall operation of transport networks. Second, we supply enhanced OD matrices showing mobility patterns between zones and average traversed distances, travel times, and operation speeds, which model the real efficacy of the public transport system. We applied this framework to the Comunidad de Madrid (Spain), using 4 months’ worth of real SCD, showing its potential to generate meaningful information about the performance of multi-modal public transport systems.

4

Liang, Huilin, and Qingping Zhang. "Assessing the public transport service to urban parks on the basis of spatial accessibility for citizens in the compact megacity of Shanghai, China." Urban Studies 55, no. 9 (June 13, 2017): 1983–99. http://dx.doi.org/10.1177/0042098017705846.

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Urban parks and public transport are indispensable elements of a compact megacity for their environmental and social values. However, few measures of urban park accessibility have considered the public transport travel mode. Based on the framework of geographic information systems (GIS) network analysis, this study proposes an innovative method to incorporate public transport travel mode into urban park accessibility evaluations. Taking Shanghai, China, as the study area, we measured home to park and park from home travel times on multi-modal transport networks, calculated the accessibilities by multiple equations, and compared accessibilities for different districts. These methods extend current accessibility measures by calculating accessibility at a realistic level, and provide a measure of public transport service for urban parks. The results for Shanghai show that approximately 99.95% of home to park routes might include public transport. The distribution of home to park public transport accessibility of the city was uneven. The patches with best accessibility tend to be distributed in the built-up area in the city centre. Public transport access to urban parks is inhomogeneous for different districts, because of urban park locations, road network characteristics, and uneven public transport supply. The distribution of park from home public transport accessibility has no significant correlation with district development stage. Public transport service in Shanghai takes no account of the factors of park star rating or size. Positive actions are required to improve the equity of public transport access to the important public health resources of urban parks.

5

Liu, Hao, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, and Hui Xiong. "Joint Representation Learning for Multi-Modal Transportation Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1036–43. http://dx.doi.org/10.1609/aaai.v33i01.33011036.

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Multi-modal transportation recommendation has a goal of recommending a travel plan which considers various transportation modes, such as walking, cycling, automobile, and public transit, and how to connect among these modes. The successful development of multi-modal transportation recommendation systems can help to satisfy the diversified needs of travelers and improve the efficiency of transport networks. However, existing transport recommender systems mainly focus on unimodal transport planning. To this end, in this paper, we propose a joint representation learning framework for multi-modal transportation recommendation based on a carefully-constructed multi-modal transportation graph. Specifically, we first extract a multi-modal transportation graph from large-scale map query data to describe the concurrency of users, Origin-Destination (OD) pairs, and transport modes. Then, we provide effective solutions for the optimization problem and develop an anchor embedding for transport modes to initialize the embeddings of transport modes. Moreover, we infer user relevance and OD pair relevance, and incorporate them to regularize the representation learning. Finally, we exploit the learned representations for online multimodal transportation recommendations. Indeed, our method has been deployed into one of the largest navigation Apps to serve hundreds of millions of users, and extensive experimental results with real-world map query data demonstrate the enhanced performance of the proposed method for multimodal transportation recommendations.

6

Mosquera, Federico, Pieter Smet, and Greet Vanden Berghe. "An Algorithm for Generating a Diverse Set of Multi-Modal Journeys." Algorithms 15, no. 11 (November 7, 2022): 416. http://dx.doi.org/10.3390/a15110416.

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A direct way of reducing the number of cars on the road is to dissuade individuals from exclusively using their car and instead integrate public transport into their daily routine. Planning multi-modal journeys is a complex task for which individuals often rely on decision support tools. However, offering individuals different journey options represents a significant algorithmic challenge. The failure to provide users with a set of journey options that differ considerably from one another in terms of the modes of transport employed is currently preventing the widespread uptake of multi-modal journey planning among the general public. In this paper, we introduce a dynamic programming algorithm that remedies this situation by modeling different transport networks as a graph that is then pruned by various graph-reduction pre-processing techniques. This approach enables us to offer a diverse set of efficient multi-modal solutions to users almost instantaneously. A computational study on three datasets corresponding to various real-world mobility networks with up to 30,000 vertices and 596,000 arcs demonstrates the effectiveness of the proposed algorithm.

7

Lenfers, Ulfia Annette, Nima Ahmady-Moghaddam, Daniel Glake, Florian Ocker, Jonathan Ströbele, and Thomas Clemen. "Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg." Land 10, no. 11 (November 3, 2021): 1179. http://dx.doi.org/10.3390/land10111179.

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Models can provide valuable decision support in the ongoing effort to create a sustainable and effective modality mix in urban settings. Modern transportation infrastructures must meaningfully combine public transport with other mobility initiatives such as shared and on-demand systems. The increase of options and possibilities in multi-modal travel implies an increase in complexity when planning and implementing such an infrastructure. Multi-agent systems are well-suited for addressing questions that require an understanding of movement patterns and decision processes at the individual level. Such models should feature intelligent software agents with flexible internal logic and accurately represent the core functionalities of new modalities. We present a model in which agents can choose between owned modalities, station-based bike sharing modalities, and free-floating car sharing modalities as they exit the public transportation system and seek to finish their personal multi-modal trip. Agents move on a multi-modal road network where dynamic constraints in route planning are evaluated based on an agent’s query. Modality switch points (MSPs) along the route indicate the locations at which an agent can switch from one modality to the next (e.g., a bike rental station to return a used rental bike and continue on foot). The technical implementation of MSPs within the road network was a central focus in this work. To test their efficacy in a controlled experimental setting, agents optimized only the travel time of their multi-modal routes. However, the functionalities of the model enable the implementation of different optimization criteria (e.g., financial considerations or climate neutrality) and unique agent preferences as well. Our findings show that the implemented MSPs enable agents to switch between modalities at any time, allowing for the kind of versatile, individual, and spontaneous travel that is common in modern multi-modal settings.

8

Sun, Ruifen, Fengjie Xie, Sirui Huang, and Yang Shao. "Construction and Characteristics Analysis of the Xi’an Public Transport Network Considering Single-Mode and Multi-Mode Transferring." Sustainability 16, no. 9 (May 3, 2024): 3846. http://dx.doi.org/10.3390/su16093846.

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The connectivity of the urban public transport network and the convenience of transfers between modes of transit are important factors that affect whether passengers choose public transport. Identifying the key nodes that affect network connectivity, direct access, transfers, and clarifying the main factors that restrict the network efficiency play important roles in improving the efficiency of the public transport network and establishing a “green city”. On this premise, this paper constructs two single-layer networks and a composite network that can reflect the transfer relationship between ‘bus–bus’, ‘metro–metro’, and ‘metro–bus’ based on the method of Space-P. The composite network realizes the integration study of homogeneous and heterogeneous stops, lines, and transfer relationships in the public transport network. At the same time, five kinds of centrality indexes are applied to the transport transfer network, and the significance of these indexes in the network is explained. Through the comprehensive analysis of these five types of indexes, the key nodes affecting the network connectivity, direct access and transfer efficiency, can be identified more accurately. Taking the public transport network of Xi’an as an example, the structural characteristics of the networks, including scale-free and small-world characteristics, were empirically analyzed. The main stops that play important roles in networks were identified based on the integrated centrality, degrees, and weight degrees. The research results showed the following: (1) Xi’an’s metro network, bus network, and metro–bus composite network all have scale-free and small-world characteristics. (2) The influence of the key stops of the metro network is concentrated, while the influence of the key stops of the bus network is scattered. (3) The public transport network in the first ring road area of Xi’an has the highest degree of direct access, and the core areas of the south, west, and north of Xi’an also have high direct access. However, the direct access in the area east of Xi’an is slightly lower. (4) Xi’an’s bus transport network covers a large area, showing the characteristics of a dual-core “central + southern” network. (5) The metro–bus composite network demonstrates a closer connection between stops and a more balanced network. (6) Finally, the degree of direct access to stops in the bus transport network and metro transport network shows the characteristics of “the single core is dominant, and the circle diffusion weakens step by step”.

9

Wang, Junye, Shin-En Pai, and Jen-Te Pai. "Using Space-L complex network model for public transportation supply and demand analysis in Taipei metropolitan area." IOP Conference Series: Earth and Environmental Science 1157, no. 1 (April 1, 2023): 012044. http://dx.doi.org/10.1088/1755-1315/1157/1/012044.

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Abstract As an important means of transportation in modern cities, public transportation plays an important role in people’s travel and the economic development of urban areas Harvey 1971 [1]. Many researchers apply the complex network theory to urban public transport network, construct complex networks and view the operation of urban public transport from the perspective of complex networks. The study established a complex network model of BUS, MRT (metro), LRT (light rail) and Multi-vehicle. And based on the weighted analysis of the actual passenger traffic, the weighted complex network model which conforms to the actual travel characteristics is obtained, and the relationship between the public transport station and the surrounding land use in Taipei metropolitan area is discussed.

10

Munjal, Rashmi, William Liu, Xuejun Li, Jairo Gutierrez, and Peter Han Joo Chong. "Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities." Future Internet 14, no. 2 (January 26, 2022): 42. http://dx.doi.org/10.3390/fi14020042.

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Smart cities use many smart devices to facilitate the well-being of society by different means. However, these smart devices create great challenges, such as energy consumption and carbon emissions. The proposed research lies in communication technologies to deal with big data-driven applications. Aiming at multiple sources of big data in a smart city, we propose a public transport-assisted data-dissemination system to utilize public transport as another communication medium, along with other networks, with the help of software-defined technology. Our main objective is to minimize energy consumption with the maximum delivery of data. A multi-attribute decision-making strategy is adopted for the selction of the best network among wired, wireless, and public transport networks, based upon users’ requirements and different services. Once public transport is selected as the best network, the Capacitated Vehicle Routing Problem (CVRP) will be implemented to offload data onto buses as per the maximum capacity of buses. For validation, the case of Auckland Transport is used to offload data onto buses for energy-efficient delay-tolerant data transmission. Experimental results show that buses can be utilized efficiently to deliver data as per their demands and consume 33% less energy in comparison to other networks.

Більше джерел

Дисертації з теми "Multi-modal public transport network":

1

Nnene, Obiora Amamifechukwu. "Simulation-based optimisation of public transport networks." Doctoral thesis, Faculty of Engineering and the Built Environment, 2020. http://hdl.handle.net/11427/32308.

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Public transport network design deals with finding the most efficient network solution among a set of alternatives, that best satisfies the often-conflicting objectives of different network stakeholders like passengers and operators. Simulation-based Optimisation (SBO) is a discipline that solves optimisation problems by combining simulation and optimisation models. The former is used to evaluate the alternative solutions, while the latter searches for the optimal solution among them. A SBO model for designing public transport networks is developed in this dissertation. The context of the research is the MyCiTi Bus Rapid Transit (BRT) network in the City of Cape Town, South Africa. A multi-objective optimisation algorithm known as the Non-dominated Sorting Genetic Algorithm (NSGA-II) is integrated with Activity-based Travel Demand Model (ABTDM) known as the Multi-Agent Transport Simulation (MATSim). The steps taken to achieve the research objectives are first to generate a set of feasible network alternatives. This is achieved by manipulating the existing routes of the MyCiTi BRT with a computer based heuristic algorithm. The process is guided by feasibility conditions which guarantee that each network has routes that are acceptable for public transport operations. MATSim is then used to evaluate the generated alternatives, by simulating the daily plans of travellers on each network. A typical daily plan is a sequential ordering of all the trips made by a commuter within a day. Automated Fare Collection (AFC) data from the MyCiTi BRT was used to create this plan. Lastly, the NSGA-II is used to search for an efficient set of network solutions, also known as a Pareto set or a non-dominated set in the context of Multi-objective Optimisation (MOO). In each generation of the optimisation process, MATSim is used to evaluate the current solution. Hence a suitable encoding scheme is defined to enable a smooth iv translation of the solution between the NSGA-II and MATSim. Since the solution of multi-objective optimisation problems is a set of network solutions, further analysis is done to identify the best compromise solution in the Pareto set. Extensive computational testing of the SBO model has been carried out. The tests involve evaluating the computational performance of the model. The first test measures the repeatability of the model's result. The second computational test considers its performance relative to indicators like the hypervolume and spacing indicators as well as an analysis of the model's Pareto front. Lastly, a benchmarking of the model's performance when compared with other optimisation algorithms is carried out. After testing the so-called Simulation-based Transit Network Design Model (SBTNDM), it is then used to design pubic transport networks for the MyCiTi BRT. Two applications are considered for the model. The first application deals with the public transport performance of the network solutions in the Pareto front obtained from the SBTNDM. In this case study, different transport network indicators are used to measure how each solution performs. In the second scenario, network design is done for the 85th percentile of travel demand on the MyCiTi network over 12 months. The results show that the model can design robust transit networks. The use of simulation as the agency of optimisation of public transport networks represents the main innovation of the work. The approach has not been used for public transport network design to date. The specific contribution of this work is in the improved modelling of public transport user behaviour with Agent-based Simulation (ABS) within a Transit Network Design (TND) framework. This is different from the conventional approaches used in the literature, where static trip-based travel demand models like the four-step model have mostly been used. Another contribution of the work is the development of a robust technique that facilitates the simultaneous optimisation of network routes and their operational frequencies. Future endeavours will focus on extending the network design model to a multi-modal context.

2

Martinod, Restrepo Ronald Mauricio. "Politiques d’exploitation et de maintenance intégrées pour l’optimisation économique, sociétale et environnementale des systèmes de transports urbains interconnectés." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0069.

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Les systèmes de transport public urbain influencent l'infrastructure des agglomérations et la vie de leurs habitants tout en stimulant directement l'économie. Les systèmes de transport public urbain intelligents contribuent à améliorer la qualité de vie et l'environnement dans les villes. Le développement rapide des solutions de transport urbain a conduit de très nombreux opérateurs à se porter sur ce marché empêchant ainsi une logique globale de l’offre. Ces optimisations discrètes, privées de toutes concertations entre opérateurs de transport intervenant sur un même périmètre, interdit l’identification d’un optimum global. En conséquence, le fonctionnement inefficace des systèmes de transport public urbain ne réduit pas nécessairement la charge environnementale, et les opérateurs de transport urbain peuvent ne pas être en mesure de la gérer de manière durable. Pour répondre à ces défis, cette thèse propose une méthodologie associée à des modèles mathématiques qui sont développés à travers des approches d’optimisation pour une gestion systémique des réseaux de transport public multimodal, et ce afin d’assurer le meilleur taux de service aux usagers tout en minimisant les coûts et les externalités sociétales afin de satisfaire au principe de durabilité, fréquemment exprimé dans les plans de développement urbains
Urban public transport systems influence the infrastructure of urban areas and the lives of their inhabitants while directly stimulating the economy. Intelligent urban public transport systems help to improve the quality of life and the environment in cities. The rapid development of urban transport solutions has led to a large number of operators entering the market, thus preventing a global optimum. These discrete optimisations, without any articulation between transport operators, avoid the identification of a global optimum. As a result, the inefficient operation of urban public transport systems does not necessarily reduce the environmental cost. To address these challenges, this thesis proposes a methodology associated with mathematical models developing optimisation approaches for multimodal public transport networks, for achieving the best service policy while minimising operation costs in order to satisfy the principle of sustainability, frequently expressed in urban development goals

3

Hatzenbühler, Jonas. "Transition Towards Fixed-Line Autonomous Bus Transportation Systems." Licentiate thesis, KTH, Transportplanering, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272008.

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In the last years the steady development of autonomous driving technology has enabled the deployment of more mature autonomous vehicles. These vehicles have been applied in several pilot projects worldwide, most commonly in the form of small buses. At the same time, the amount of people traveling in especially urban areas is continuously growing, resulting in more trips in the transportation system. An efficient transportation system is therefore required to serve the growing passenger demand. Autonomous buses (AB) are assumed to have lower operational costs and with that public transport (PT) systems can potentially be designed more efficiently to facilitate the increased demand better. In this study, an AB specific simulation-based optimization framework is proposed which allows analyzing the impacts AB have on line-based PT systems. The thesis focuses on the transition from existing PT systems towards line-based PT systems operated partially or exclusively by AB. Existing work on PT service design is extended so that realistic AB systems can be investigated. This is achieved by (i) using AB specific operator cost formulations, (ii) integrating infrastructure costs required for AB operations, (iii) utilizing a dynamic, stochastic and schedule-based passenger assignment model for the simulation of PT networks and by (iv) formulating a multi-objective optimization problem allowing to investigate the stakeholder-specific impacts of AB. In Paper I the effects of AB, concerning service frequency and vehicle capacity, on fixed-line PT networks are investigated. Among other metrics, the changes are evaluated based on differences in level of service and passenger flow. Additionally, the sequential introduction of AB in existing PT systems is studied. The framework addresses a case study in Kista, Sweden. The study confirmed the initial hypothesis that the deployment of AB leads to an increase in service frequency and a marginal reduction in vehicle capacity. Furthermore, it could be seen that the deployment of AB increases the passenger load on AB lines and that passengers can shift from other PT modes towards the AB services. Paper II incorporates a multi-objective heuristic optimization algorithm in the simulation framework. The study investigates changes in transport network design based on the deployment of AB. The differences in user-focused and operator-focused network design are analyzed and the impact of AB on these is quantified. This study is applied to a case study in Barkarby, Sweden where a full-sized, line-based PT network is designed to exclusively operate AB. Among other findings, we show that the autonomous technology reduces the number of served bus stops and reduces the total PT network size. Additionally, average passenger waiting time can be reduced when deploying AB on user-focused PT networks, which in turn leads to a further reduction of user cost.
De senaste årens framsteg inom autonom körteknik har lett till mer mogna autonoma fordon. Dessa fordon har setts tillämpas i flera pilotprojekt över hela världen, oftast i form av små bussar. Samtidigt växer mängden människor som reser, särskilt i stadsområden, kontinuerligt vilket resulterar i fler resor i transportsystemet. Därför krävs ett effektivt transportsystem för att tillgodose det växande antalet passagerare. Autonoma bussar (AB) antas ha lägre driftskostnader och därmed kan system för kollektivtrafik (public transport, PT) potentiellt utformas mer effektivt för att underlätta den ökade efterfrågan bättre. I denna studie föreslås ett AB-specifikt simuleringsbaserat optimeringsramverk som gör det möjligt att analysera effekterna AB har på linjebaserade PT-system. Avhandlingen fokuserar på övergången från befintliga PT-system till linjebaserade PT-system som delvis eller uteslutande drivs av AB. Befintligt arbete med PT-tjänstdesign utvidgas så att realistiska AB-system kan undersökas. Detta uppnås genom att (i) använda AB-specifika operatörskostnadsformuleringar, (ii) integrera infrastrukturkostnader som krävs för AB-verksamhet, (iii) använda en dynamisk, stokastisk och schemabaserad modell för att tilldela passagerare vid simulering av PT-nät samt genom att (iv) formulera ett multifunktionellt optimeringsproblem som gör det möjligt att undersöka AB: s intressespecifika effekter. I artikel I undersöks effekterna av AB, med avseende på servicefrekvens och fordonskapacitet, på fasta linjer i PT-nät. Förändringar utvärderas bland annat utifrån skillnader i servicenivå och passagerarflöde. Dessutom studeras den sekventiella introduktionen av AB i befintliga PT-system. Det föreslagna ramverket tillämpas på en fallstudie i Kista, Sverige. Studien bekräftade den initiala hypotesen att utplaceringen av AB leder till en ökning av servicefrekvensen och en marginell minskning av fordonens kapacitet. Vidare kunde man se att utplaceringen av AB ökar passagerarbelastningen på AB-linjer och att passagerare kan skifta från andra PT-former mot AB-tjänsterna. Artikel II integrerar en multifunktionell heuristisk optimeringsalgoritm i ramverket för simuleringen. Studien undersöker förändringar i transportnätverkets design baserat på implementeringen av AB. Skillnaderna i användarfokuserad och operatörsfokuserad nätverksdesign analyseras och AB: s inverkan på dessa kvantifieras. Denna studie tillämpas på en fallstudie i Barkarby, Sverige, där ett fullstort linjebaserat PT-nät är utformat för att exklusivt driva AB. Vi visar bland annat att den autonoma tekniken reducerar antalet använda busshållplatser och reducerar den totala PT-nätstorleken. Dessutom kan implementeringen av AB på användarfokuserade PT-nät ytterligare förbättra servicenivån främst genom att minska den genomsnittliga väntetiden per passagerare.

4

Scarlato, Michele. "Sicurezza di rete, analisi del traffico e monitoraggio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3223/.

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Il lavoro è stato suddiviso in tre macro-aree. Una prima riguardante un'analisi teorica di come funzionano le intrusioni, di quali software vengono utilizzati per compierle, e di come proteggersi (usando i dispositivi che in termine generico si possono riconoscere come i firewall). Una seconda macro-area che analizza un'intrusione avvenuta dall'esterno verso dei server sensibili di una rete LAN. Questa analisi viene condotta sui file catturati dalle due interfacce di rete configurate in modalità promiscua su una sonda presente nella LAN. Le interfacce sono due per potersi interfacciare a due segmenti di LAN aventi due maschere di sotto-rete differenti. L'attacco viene analizzato mediante vari software. Si può infatti definire una terza parte del lavoro, la parte dove vengono analizzati i file catturati dalle due interfacce con i software che prima si occupano di analizzare i dati di contenuto completo, come Wireshark, poi dei software che si occupano di analizzare i dati di sessione che sono stati trattati con Argus, e infine i dati di tipo statistico che sono stati trattati con Ntop. Il penultimo capitolo, quello prima delle conclusioni, invece tratta l'installazione di Nagios, e la sua configurazione per il monitoraggio attraverso plugin dello spazio di disco rimanente su una macchina agent remota, e sui servizi MySql e DNS. Ovviamente Nagios può essere configurato per monitorare ogni tipo di servizio offerto sulla rete.

Частини книг з теми "Multi-modal public transport network":

1

Xu, Lu, Funing Yang, Zhezhou Yu, Qiuyang Huang, Xuan Ji, and Yuanbo Xu. "Analysis of Public Transport System Efficiency Based on Multi-layer Network." In Lecture Notes in Computer Science, 798–809. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57884-8_70.

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Gkiotsalitis, Konstantinos. "Tactical Planning of Public Transport Services: Multi-modal Synchronization." In Public Transport Optimization, 471–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_10.

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3

Sun, Lishan, and Huiwu Luo. "Mathematical Model and Algorithm of Optimal Public Transport Route Selection." In Application of Intelligent Systems in Multi-modal Information Analytics, 85–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74814-2_12.

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4

Feng, Chen, Zhang Dali, and Fu Xianjun. "Collection and Processing Method of Big Data of Network Public Opinion." In Application of Intelligent Systems in Multi-modal Information Analytics, 724–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51556-0_110.

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5

Zhang, Rui, and Wukui Wang. "Fuzzy Reasoning of Brand Cognition Based on Public Emotion and Network Review." In Application of Intelligent Systems in Multi-modal Information Analytics, 433–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74814-2_61.

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6

Tan, Lu. "Network Public Opinion Analysis Technology and Governance Measures in the New Media Era." In Application of Intelligent Systems in Multi-modal Information Analytics, 808–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05484-6_105.

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7

Aissat, Kamel, and Sacha Varone. "Real-Time Ride-Sharing Substitution Service in Multi-modal Public Transport Using Buckets." In Advances in Intelligent Systems and Computing, 425–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18167-7_37.

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8

Gao, Ziyuan, Fang Liu, and Jing Liang. "Social Network Comment Public Opinion Monitoring and Consumer Behavior Prediction Algorithm Based on Big Data." In Application of Intelligent Systems in Multi-modal Information Analytics, 825–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05237-8_102.

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9

Han, Kate, Lee A. Christie, Alexandru-Ciprian Zăvoianu, and John McCall. "On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems." In Computer Aided Systems Theory – EUROCAST 2022, 104–11. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_12.

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10

D’silva, Godson Michael, Lukose Roy, Anoop Kunjumon, and Azharuddin Khan. "Developing a Multi-modal Transport System by Linkage of Local Public Transport with Commuter Trains Using Software as a Service (SaaS) Architecture." In Information and Communication Technology for Intelligent Systems, 115–23. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1742-2_12.

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Тези доповідей конференцій з теми "Multi-modal public transport network":

1

Wu, Lixia, Wei Wang, Haoyang Ding, and Min Fu. "Comparing Effective Path Searching Algorithms for Multi-Modal Public Transport Super-Network." In 18th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.075.

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2

Shanmukhappa, Tanuja, Ivan W. H. Ho, Chi K. Tse, Xingtang Wu, and Hairong Dong. "Multi-layer Public Transport Network Analysis." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351818.

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3

Chen, Xinyuan, Zhiyuan Liu, Shahi Islam, and Wei Deng. "Park-and-Ride Network Design in a Bi-Modal Transport Network to Prompt Public Transport Mode Share." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.229.

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4

Ušpalytė-Vitkūnienė, Rasa, and Justina Kolodinskaja. "PUBLIC TRANSPORT ROUTE NETWORK OPTIMIZATION CRITERIA’S FOR CITIES." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.635.

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Анотація:

The city’s approach to transport management is defined by the City Master Plan and City Strategic Plan and Vilnius Sustainable Urban Mobility Plan (Vilnius Sustainable Mobility Plan − SUMP, 2018), which have identified scenarios for the transportation system till 2030. A SUMP fosters a balanced development of all relevant transport modes, while encouraging a shift towards more sustainable modes. Its key objective is to design a modern, efficient, fast, comfortable and safe public transport system, comparable to those of EU capital cities. Vilnius aims to maintain an environmentally friendly public transport fleet that represents the biggest share in the city’s modal split. Still there is a problem with matching the public transport network with the fast changing urban situation. Citizen’s are moving from one part of the city to the other, that shows that is necessary to have tool helping to decide how and when to change public transport route. The aim of this research was to create the clear methodology for the public transport route network maintenance based on the main public transport route criteria’s.

5

DE MATTEIS, Luca, Salvatore STRANO, and Luca D’ACIERNO. "The design of additional public transport services to increase the resilience of road networks." In 12th International Conference “Environmental Engineering”. VILNIUS TECH, 2023. http://dx.doi.org/10.3846/enviro.2023.888.

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Анотація:

Some events (as, for instance, a bridge collapse, an underpass closure or a road maintenance intervention) may generate the total or partial unavailability of some elements of urban road networks. Hence, some users have to redirect their paths generating an increase in congestion on the remaining part of the network. In this context, this paper proposes the design of additional public transport services to increase the resilience of road urban networks by affecting the user modal choices to reduce road flows and bring congestion levels as close as possible to the initial equilibrium conditions. Finally, to verify the usefulness and feasibility of the proposed methodology, it has been applied in the case of the road network of Fuorigrotta, a district of the city of Naples, in southern Italy.

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Hou Lin, Li Wen-yong, Ma Li, and Xu Jian-min. "Public transport network optimization based on a Multi-objective Optimization Problems Evolutionary Algorithm." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5192410.

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7

Zhang, Tingting, Dawei Hu, and Haimei Chen. "Research on Urban Multi-Mode Public Transport Trip Path Based on Super Network Theory." In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.216.

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8

Liang, Sijie, Yugang Liu, and Shuai Zheng. "Research On the Cascading Failure of Multi-Layer Public Transport Network with Subway Service Interruption." In 2023 7th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2023. http://dx.doi.org/10.1109/ictis60134.2023.10243935.

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Metelka, Stanislav, and Vít Janoš. "Prerequisites of the successful tram-train system as a part of the regional railway network." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1132.

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Анотація:

The idea of connecting the two of the closest urban and suburban rail-based public transport systems was proposed more than 40 years ago and it boasts a proclaimed support from the regional authorities. However, many of the systems either did not achieve their goals or became financially inefficient as they replaced the conventional railway systems in a wider range than it had initially been planned. That resulted in an inappropriate competition between the public transportation modes. This paper aims to define the prerequisites needed for the establishment of a successful, both financially and operationally sane tram-train system as a substantial part of the regional railway network An analysis of the various current tram-train systems in the selected European cities is made and special attention is paid to their distinctive features including the offered capacity, density, technical compatibility, and operational aspects. Using the conclusions of the analysis and the current technical and operational requirements to be met, a recommendation for the design and organization of the planned tram-train lines and networks is stated, which may help the transport planners design such costly systems in a way it can use its overall advantages in favor of the passengers and an increase of the public transportation modal share.

10

Cooper, Ian M., Matthew P. John, Rhydian Lewis, Christine L. Mumford, and Andrew Olden. "Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms." In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. http://dx.doi.org/10.1109/cec.2014.6900362.

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