Relevant bibliographies by topics / Smart bike

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart bike'

Author: Grafiati
Published: 21 June 2022

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Journal articles on the topic "Smart bike"

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Cichosz, Marzenna. "IT solutions in logistics of smart bike-sharing systems in urban transport." Management 17, no. 2 (December 1, 2013): 272–83. http://dx.doi.org/10.2478/manment-2013-0071.

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Summary IT solutions in logistics of smart bike-sharing systems in urban transport In recent years, the public transport of Krakow, Rzeszow, Wroclaw, Poznan, Opole and Warsaw has expanded into the third generation bike-sharing programs - smart bikes. It’s an innovative solution, deploying IT systems and technology to integrate individual stations of urban bike rental system. The article presents the business model solution, its functionality from the perspective of customers and operator, and shows the role of IT solutions support in managing the logistics of rental network. An illustrative case of „Veturilo” solution implementation is presented.
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Reddy, Nelakurthi Spoorthi. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4075–89. http://dx.doi.org/10.22214/ijraset.2021.35851.

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Road accidents are increasing day by day because the riders are not using the helmet and due to consumption of alcohol. In today's world, huge numbers of people are dying on road accidents. By using smart helmet, the accidents can be detected. The main target of the project is designing a smart helmet for accident avoidance and alcohol detection. The features of the Smart Helmet are wearing helmet, detection of alcohol, detection of accident. If the person is not wearing helmet the bike will not start and it displays on the LCD. The alcohol sensor recognizes the alcoholic substance in the rider's breath. If the person is drunk then alcohol sensor detects it and displays on the LCD and the bike will not start. If there is no detection of alcohol then the bike starts. If there is no sign of alcoholic substance present and helmet is used, only then the bike will start. The bike will not start if any of the two conditions is violated. If an accident is occurred then it is detected by Vibration sensor and alarm is activated. If the person is in conscious state, then the person can off the alarm and no message is sent to the saved numbers. If the person is in unconscious state, then message will be sent to the saved numbers in GSM module and sends the location to them by GPS. With the use of Smart Helmet, accident rate can be reduced.
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Bieliński, Tomasz, and Agnieszka Ważna. "Hybridizing bike-sharing systems: the way to improve mobility in smart cities." Transport Economics and Logistics 79 (October 23, 2018): 53–63. http://dx.doi.org/10.26881/etil.2018.79.04.

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New generation of bike-sharing systems introduce a wide range of smart solutions. Dockless bicycles equipped with GPS and accessible by smartphone applications as well as electric bikes are considered to be solutions to many socioeconomic and environmental urban problems. However, older generation of bike-sharing systems equipped with dockings stations have some advantages over free floating public bicycles. The aim of this paper is to examine if hybridization of both systems may become an opportunity to improve bike-sharing services. The paper presents characteristics of both types of bike-sharing schemes and describes the examples of hybrid models to show benefits of this solution. Chosen methodology is the case study of selected European bike-sharing systems which combine features of both schemes – the dockless and the station-based.
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Billhardt, Holger, Alberto Fernández, and Sascha Ossowski. "Smart Recommendations for Renting Bikes in Bike-Sharing Systems." Applied Sciences 11, no. 20 (October 16, 2021): 9654. http://dx.doi.org/10.3390/app11209654.

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Vehicle-sharing systems—such as bike-, car-, or motorcycle-sharing systems—have become increasingly popular in big cities in recent years. On the one hand, they provide a cheaper and environmentally friendlier means of transportation than private cars, and on the other hand, they satisfy the individual mobility demands of citizens better than traditional public transport systems. One of their advantages in this regard is their availability, e.g., the possibility of taking (or leaving) a vehicle almost anywhere in a city. This availability obviously depends on different strategic and operational management decisions and policies, such as the dimension of the fleet or the (re)distribution of vehicles. Agglutination problems—where, due to usage patterns, available vehicles are concentrated in certain areas, whereas no vehicles are available in others—are quite common in such systems, and need to be dealt with. Research has been dedicated to this problem, specifying different techniques to reduce imbalanced situations. In this paper, we present and compare strategies for recommending stations to users who wish to rent or return bikes in station-based bike-sharing systems. Our first contribution is a novel recommendation strategy based on queuing theory that recommends stations based on their utility to the user in terms of lower distance and higher probability of finding a bike or slot. Then, we go one step further, defining a strategy that recommends stations by combining the utility of a particular user with the utility of the global system, measured in terms of the improvement in the distribution of bikes and slots with respect to the expected future demand, with the aim of implicitly avoiding or alleviating balancing problems. We present several experiments to evaluate our proposal with real data from the bike sharing system BiciMAD in Madrid.
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Et al., Dr Siddhartha Choubey. "INTERNET OF THINGS BASED SMART BIKE SYSTEM." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 10, 2021): 640–44. http://dx.doi.org/10.17762/itii.v9i1.182.

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Present invention relates to IoT enabled smart bike. The object of the proposed invention is to provide a smart bike which has many smart features like gesture controlled horn and ignition, temperature monitoring of engine, also shows the real time distance and time remaining to arrive the destination. The preferred embodiment comprises of Wi-Fi module, ultrasonic sensor,accelerometer and cloud platforms for managing and processing sensor data. The Smart Bike saves the travelling time and reduces the possibility of road accident by a warning buzzer system. Following invention is described in detail with the help of Figure 1 of sheet 1 showing the schematic diagram for the proposed invention.
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Bui, Van-Tung, Chyi-Ren Dow, Yu-Chi Huang, Pei Liu, and Vu Duc Thai. "A Canopen-Based Gateway and Energy Monitoring System for Electric Bicycles." Energies 13, no. 15 (July 22, 2020): 3766. http://dx.doi.org/10.3390/en13153766.

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The limitation of battery capacity is a cause of range anxiety that reduces the wide use of electric bicycles (e-bikes). Therefore, many works have developed systems that provide assistance to cyclists to deal with the range anxiety problem. However, these systems may have limited applications since they can only work with the e-bike manufacturers’ hardware and communication protocols. This paper proposes an energy monitoring system (EMS) for e-bikes, which is based on EnergyBus, a standardized hardware and communication protocol for e-bikes. EnergyBus standard is based on controller area network (CAN) bus and CANopen protocols. EMS comprises a gateway connected to EnergyBus of e-bike and an EMS application installed on a smart device that connects to the gateway via Bluetooth. The gateway provides CAN bus monitoring and CANopen device data access services to the smart device. These services are modeled to determine gateway parameters to ensure the efficient performance of the gateway and to keep the working status of the monitored e-bike safe. The EMS application provides the cyclist information about battery status, rider efforts, and other related information such as distance and speed. Experimental results show that the proposed gateway can monitor data in real-time and ensure monitored system safety.
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Shravya, Keesari, Yamini Mandapati, Donuru Keerthi, Kothapu Harika, and Ranjan K. Senapati. "Smart helmet for safe driving." E3S Web of Conferences 87 (2019): 01023. http://dx.doi.org/10.1051/e3sconf/20198701023.

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A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. The main purpose of this helmet is to provide safety for the rider. This can be implemented by using advanced features like alcohol detection, accident identification, location tracking, use as a hands free device, fall detection. This makes it not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module can be used as wireless link for communication between transmitter and receiver. If the rider is drunk the ignition gets automatically locked, and sends a message to the registered number with his current location. In case of an accident it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message.
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Mane, Atharva. "Smart Device for Bikers to Prevent from Accident and Motorcycle Security." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 137–40. http://dx.doi.org/10.22214/ijraset.2021.36274.

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In the current situation many people lost their life due to accidents and the main reason behind it is they are not wearing helmets. So, by wearing a helmet people can save their life and for compulsory use of a helmet, it should be linked with a bike. With this reason, bikemet project is specially developed. This is a combination of a bike and helmet that has become smarter and safer than before with the aid of IoT. The BikeMet has a Proximity sensor which makes the user compulsorily wear the helmet and if still there is an emergency, then there is a keypad provided which will allow the user to use the bike by entering a Pin so it is convenient for the user to rid out from the situation. In the mechanism of bikemet, bike and helmet are linked together and they transmit the data from the helmet to the receiver of the bike and hence if the user wears a helmet, then only the user will be able to turn on the bike. The bike has various sensors like track if the bike gets stolen then automatically off the ignition of the bike and like Accelerometer to detect accidents and send messages to respective people for giving information. So, this application can save many lives.
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Yawle, Smita. "IoT based Smart Bike Monitoring System." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 1458–61. http://dx.doi.org/10.22214/ijraset.2019.4264.

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Chintawar, Kshiti. "IoT: Smart Helmet for Bike Rider." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4809–14. http://dx.doi.org/10.22214/ijraset.2021.35900.

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Road accidents are increasing in our country, most of them are caused due to negligence of not wearing the helmet, drink and drive and over speeding which many leads to death or severe injuries due to lack of medical treatments provided to the injured person at right time. This motivates us to think about making a system which ensures the safety of biker, by making it mandatory to wear the helmet by the rider to prevent head injuries that may lead to immediate death, prevent drink and drive scenario by testing the breath of the rider before the ride, prevent over speeding and rash riding by alerting the rider and also to provide proper medical attention, if met with an accident by notifying the concerned person with the location details.
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Dissertations / Theses on the topic "Smart bike"

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Andersson, Tim, and Alexander Sjödin. "Smart Bike Rack : A Conept Study." Thesis, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54051.

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Thule Sweden AB is a company that develops products to facilitate people's adventures. The companyfocuses on various transport solutions where products are offered in four product categories which areSports and Cargo Carriers, Active with Kids, RV Products and Packs, Bags and Luggage. Thecategories consist of everything from roof racks, roof boxes, bicycle carts and strollers to tents for RVsand caravans and backpacks for everyday life.A problem that Thule Sweden AB has identified is the limited opportunity to bring important objectswith you on your bike. The pursuit of a possible solution would, in the company's opinion, be a newconcept for transport where a bicycle could be used. This is due to an increase in the number ofcyclists in all possible areas. With an increasing number of cyclists, new needs and problems alwaysarise at the same time as the company wants to explore a potential development of the existingpackage holder "Tour Rack" in the product collection. The result of the new concept would mean thatit would be integrated with the package holder, where new transport options could be created.The report covers the steps taken to find a solution to enable the transport of objects that have beenidentified as difficult to carry on a bicycle. This has been done with the help of a product developmentprocess where a lot of focus has been on the customer's wishes and needs. Initially, a boot camp wasconducted to identify the target group and possible objects that cyclists considered difficult to bring.This step led to the establishment of a requirements- and function specification, which was the basisfor the generation of several different concepts. The concepts were eliminated and decisions onfurther development were made where one concept was considered to be the best according to theboot camp. The concept was developed step by step and verified using physical prototypes and tests.The tests consisted of assembling manufactured prototypes with the desired objects, which were thenintegrated with the package holder. This was done to ensure the function of the concept.Through this process, the study resulted in a concept where an H-shaped geometry is integrated withthe package holder "Tour Rack". The concept has three integration points in form of screws thatenable an easy mounting process and a functionally stable concept for transport. Securing of objectstakes place by the user tightening two straps over the placed object which attaches softly between tworubber surfaces.
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Ashqar, Huthaifa Issam. "Strategic Design of Smart Bike-Sharing Systems for Smart Cities." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/97827.

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Traffic congestion has become one of the major challenging problems of modern life in many urban areas. This growing problem leads to negative environmental impacts, wasted fuel, lost productivity, and increased travel time. In big cities, trains and buses bring riders to transit stations near shopping and employment centers, but riders then need another transportation mode to reach their final destination, which is known as the last mile problem. A smart bike-sharing system (BSS) can help address this problem and encourage more people to ride public transportation, thus relieving traffic congestion. At the strategic level, we start with proposing a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. In the transportation sector, researchers can use smartphones to track and obtain information of multi-mode trips. These data can be used to recognize the user's transportation mode, which can be then utilized in several different applications; such as planning new BSS instead of using costly surveys. Next, a new method is proposed to quantify the effect of several factors such as weather conditions on the prediction of bike counts at each station. The proposed approach is promising to quantify the effect of various features on BSSs in cases of large networks with big data. Third, these resulted significant features were used to develop state-of-the-art toolbox algorithms to operate BSSs efficiently at two levels: network and station. Finally, we proposed a quality-of-service (QoS) measurement, namely Optimal Occupancy, which considers the impact of inhomogeneity in a BSS. We used one of toolbox algorithms modeled earlier to estimate the proposed QoS. Results revealed that the Optimal Occupancy is beneficial and outperforms the traditionally-known QoS measurement.
PHD
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Ehrenhofer, Adrian, Alice Mieting, Sascha Pfeil, Johannes Mersch, Chokri Cherif, Gerald Gerlach, and Thomas Wallmersperger. "An automatically rainproofing bike helmet through light-sensitive hydrogel meshes: Design, modeling and experiments." SPIE, 2020. https://tud.qucosa.de/id/qucosa%3A74218.

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For everyday cycling, one needs to carry rainproof clothing just for the case of unexpected downpours. In the present research, we present a concept for a helmet which is automatically rainproof when the rain starts. When the sun comes out, the helmet is breathable again even before it completely dries up. This functionality is provided by active hydrogel meshes. Hydrogel meshes offer great advantages due to their ability to change the aperture size with swelling and deswelling. In our current work, we present the design and modeling steps for hydrogel-layered active meshes which use (i) swelling and deswelling in hydrated state and (ii) swelling starting from the dry state. The main goal is to close the air openings of a bicycle helmet when rain starts as an automatic rainproofing. This can be achieved through the swelling of the hydrogel pNiPAAM-co-chlorophyllin in the meshes, which leads to closing when hydrated. At the same time, the light-sensitive behavior leads to opening of the apertures under direct sun exposure, i.e. when the sun appears again after the rain. We present the steps of modeling and design using the Normalized Extended Temperature-Expansion-Model (NETEM) to perform simulations in Abaqus. The model is capable of describing both the swelling of the hydrogel under light stimulus and the volume change due to hydration. It is based on the analogy between free swelling and thermal expansion and defined for nonlinear displacements. We also discuss the fabrication process of hydrogel-layered fibers and challenges in their application and simulation. As a proof of concept for hydrogel-layered meshes, we show preliminary experimental results of a poly(acrylamide)/poly(2-acrylamido-2-methyl-1-propanesulfonic acid) (PAAm/PAMPS) hydrogel with semi-interpenetrated network (SIPN) structure and its swelling capacities on a mesh. Starting from the active hydrogel meshes as presented in the current work, the next step can be smart textiles that harness the power of hydrogels: the adaptation to combinations of stimuli - like humidity, temperature and brightness - that define environments.
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Hidalgo, González Guillermo, and António Queirós. "Railway Mobility Hubs: A feature-based investment return analysis." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18204.

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While there has been considerable research regarding the role of Mobility Hubs in cities and transport networks, significant investment is required to develop these facilities. It is the correlation between investment, new users’ attraction and revenue generation that is the key for a sustainable development of Mobility Hubs and this investment must, therefore, be correctly assessed and targeted. This study aims to develop a methodology to determine the viability of investing in Mobility Hub features, weighing the investment on different Hub features and services against expected potential benefits and revenue generation, addressing the question: Can investment in Mobility Hub features be justified and, if so, which features maximize its expected positive impact? Based on a review of literature and definition of possible Hub features as variables, secondary research data was compiled to enable the analysis of expected impacts of each variable/feature in terms of new user’s attraction and revenue generation, which was then used to develop individual Net Present Value analysis of each feature. The result of these analysis demonstrates and concludes that different Hub features have the potential to generate substantially different investment outcomes, and that each feature should be analyzed individually prior to investment decision. It was also concluded by this research that the proposed assessment methodology can be used for future research on other listed Hub features, albeit with the constraint that primary data will be required when secondary research data is not available.
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Bertero, Christophe. "Perception de l'environnement urbain à l'aide d'une flotte de capteurs sur des vélos : application à la pollution de l'air." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30321.

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Cette thèse s'inscrit dans le contexte des « villes intelligentes », où le traitement de l'information améliore la qualité de vie. Elle étudie la perception de l'environnement, et plus particulièrement la perception de la pollution de l'air en ville, à l'aide de capteurs sur vélos. Le premier chapitre introduit les défis techniques et scientifiques, en terme de collecte de l'information et de modélisation, appliqués au domaine de l'aérologie. Le deuxième chapitre s'intéresse à la conception d'une flotte d'instruments mobiles de mesure de la pollution de l'air. Nous caractérisons la forme du réseau de capteurs nécessaire à la modélisation, d'une part à l'aide de la littérature et d'autre part via une simulation. Le troisième chapitre expose notre réalisation d'un tel instrument. Nous l'avons articulé autour d'un micro-capteur à métal-oxyde semi-conducteur (capteur MOx) de NO2 et CO, le MiCS-4514, et évalué ses performances en milieux contrôlés. Le quatrième chapitre présente les deux déploiements de cet instrument dans la ville de Toulouse, d'abord auprès d'une association de location de vélos puis avec des « vélo-taffeurs » de notre laboratoire, et le jeu de données collecté. Enfin, nous estimons les niveaux de pollution en NO2 et en CO dans la ville
This thesis takes place in the context of "smart cities", where the information processing improves the quality of life. It studies the perception of the environment and especially the perception of air pollution in the city using sensors on bikes. The first chapter introduces the technical and scientific challenges in terms of information collection and modeling applied to aerology. The second chapter presents the design of a fleet of mobile instruments for measuring air pollution. We characterize the shape of the sensor network needed for modeling, on the one hand using the literature and on the other hand using a simulation. The third chapter deals with the development of such an instrument. We have built our instrument around a semiconductor metal oxide micro-sensor (MOx sensor) of NO2 and CO, the MiCS-4514, and evaluated its performance in controlled environments. The fourth chapter presents the two deployments of this instrument in the city of Toulouse in France, first with a bicycle rental association and then with bikers from our laboratory, and the dataset collected. Finally, we estimate the pollution levels in NO2 and CO in the city
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Smedberg, Johanna. "Inställning till den smarta elcykeln som tjänst : Finns det samband?" Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97923.

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Vi befinner oss i en transformation där elcykeln tillför en ny dimension av mobilitet. Samtidigt sker ett teknologiskifte där Internet of Things (IoT) möjliggör uppkoppling av produkter till varandra och från produkt till människa, på ett sätt som tillför nya värden. Elcykeln är inget undantag. Med IoT blir elcykeln intelligent; den smarta elcykeln är här. Smarta elcyklar är nytt på den svenska marknaden. För att förstå hur affärsmodeller och betalningsmodeller kan skapas kring denna nya produkt undersöks inställning till, och drivkrafter för, den smarta elcykeln. Vidare prövas inställningen till olika betalningsmodeller.Resultaten visar att elcykelcyklisten är intresserad av att skaffa sig en smart elcykel och helst vill man betala hela beloppet direkt vid köpet, även om man är öppen för alternativa betalformer som bygger på cykeln som tjänst.I arbetet konstateras att det finns samband mellan teknikintresse och inställningen till smarta elcyklar liksom samband mellan inställning till olika betalningsmodeller och inställning till den smarta elcykeln.Arbetet utgör en grund för vidare forskning kring den smarta elcykeln och affärsmodeller baserade på elcyklar uppkopplade genom IoT.
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Zguira, Bahri Yosra. "Study and development of wireless sensor network architecture tolerant to delays." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI121/document.

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Le transport est devenu fondamental dans les villes pour le bon fonctionnement de l'économie et le bien-être de la population urbaine. Depuis plusieurs années, le transport est confronté à de nombreux problèmes tels que l'embouteillage, le taux élevé d'accidents, la vie malsaine due à la fumée et à la poussière, la pollution atmosphérique due aux émissions de carbone, etc. Pour faire face à ces problèmes, les recherches intègrent les technologies numériques au transport terrestre, connu sous le nom de système de transport intelligent (ITS). Les ITS peuvent détecter, analyser, collecter, contrôler et communiquer différentes données. Cette thèse étudie et propose un nouveau protocole pour les applications de collecte de données dans un environnement urbain. Nous faisons trois contributions principales. Tout d'abord, nous proposons un nouveau protocole dénommé le protocole "Internet of Bikes" IoB-DTN qui applique le paradigme DTN (Réseau tolérant aux délais) aux applications de l'Internet des objets (IoT) exécutant une application de collecte de données sur un système de partage de vélo urbain basé sur un réseau de capteurs. Le protocole est évalué sur un scénario réaliste en évaluant les politiques de gestion des buffers, le nombre de copies pulvérisé dans le réseau ainsi que le nombre des vélos utilisés. Deuxiément, une évaluation comparative des performances du protocole IoB-DTN multi-sauts avec une technologie de réseau étendu à basse consommation (LPWAN), de type LoRa/LoRaWAN est étudiée. LPWAN a été conçu pour fournir une connectivité à grande distance et rentable pour les applications IoT à faible débit: durée de vie de plusieurs années et une portée de multikilomètres pour les appareils mobiles alimentés par des batteries. Cette partie de notre travail vise à fournir aux concepteurs et aux managers de réseaux des idées sur la technologie la plus pertinente pour leurs applications urbaines pouvant fonctionner sur des systèmes de partage de vélos. Enfin, nous proposons un protocole efficace, IoB-DTN basé sur un mécanisme d’agrégation de données. Nous proposons trois variantes de IoB-DTN: IoB basé sur l'agrégation spatiale (IoB-SA), IoB basé sur l'agrégation temporelle (IoB-TA) et IoB basé sur l'agrégation spatio-temporelle (IoB-STA). Nous comparons les trois variantes avec le protocole multi-saut IoB-DTN sans agrégation et la technologie à faible puissance et longue portée, de type LoRa. Les résultats de la comparaison permettent de vérifier que les trois variantes de l’IoB-DTN basées sur l’agrégation de données améliorent plusieurs paramètres tels que le taux de livraison, la consommation d’énergie et le débit
Transport has become fundamental in the cities to the well functioning of the economy and the welfare of the city population. For several years, transportation faces many issues such as traffic jamming, high accidents rate, unhealthy life due to smoke and dust, air pollution as a result of carbon emission, etc. To deal with these matters, researches integrate digital technologies to ground transportation which is known as Intelligent Transport System (ITS). ITS can sense, analyze, collect, control and communicate different data. This thesis investigates and proposes a new protocol for data collection applications in an urban environment. We make three main contributions: firstly, we propose a new protocol denoted the "Internet of Bikes" IoB-DTN protocol which applies Delay/Disruption Tolerant Network (DTN) paradigm to the Internet of Things (IoT) applications running a data collection application on urban bike sharing system based sensor network. The protocol is evaluated on a realistic scenario by assessing the buffer management policies, the number of copies sprayed in the network as well as the number of bicycles used. Secondly, a comparative evaluation of the performance of the multi-hop IoB-DTN protocol with a low-power wide-area network (LPWAN) technology, LoRa/LoRaWAN type is investigated. LPWAN have been designed to provide cost-effective wide area connectivity for small throughput IoT applications: multiyear lifetime and multikilometer range for battery-operated mobile devices. This part of our work aims at providing network designers and managers insights on the most relevant technology for their urban applications that could run on bike sharing systems. Finally, we propose an efficient IoB-DTN protocol based on data aggregation mechanism. We propose three variants of IoB-DTN: IoB based on spatial aggregation (IoB-SA), IoB based on temporal aggregation (IoB-TA) and IoB based on spatio-temporal aggregation (IoB-STA). We compare the three variants with the multi-hop IoB-DTN protocol without aggregation and the low-power long-range technology, LoRa type. Comparison results verify that the three variants of IoB-DTN based on data aggregation improve several metrics such as the delivery rate, energy consumption and throughput
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Chen, Yi-Pin, and 陳宜斌. "Smart Bike Device Design." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/77105895663615242825.

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碩士
聖約翰科技大學
電子工程系碩士在職專班
100
In this paper, an intelligent bicycle installations, this smart device contains the human heart rate sensor design, environmental temperature and humidity,atmospheric pressure sensor, refers to the outside refers to the number of measurements, G-sensor anti-theft application design and the design of an electric power storage and conversion output. This device can be combined through a wireless Bluetooth module and smart phones do they know the sensor data and applications sent to the smart phone, smart phone's high-speed computing capabilities, large screen display as well as GPRS and WIFI this information into the cloud to do more potential applications. And run through the bike through a small power generators, after a power storage and conversion,can supply the smart device power, lighting and the help of smart phones do standby power charging. Even an all day in the outdoors do not have to worry about no power, so that you never ever use of clean energy. Activities to become smarter, more comfortable riding a bike.
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CHEN, PING-HUI, and 陳秉暉. "Research on Smart Bike Safety System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/f9yr5m.

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碩士
明道大學
材料與能源工程學系碩士班
106
In recent years, the rise wave of bicycle riseup and the government promotion of the U-Bike. Many people who take a short range most choose to ride this rental bicycle. To make the population of the cycling family greatly improved. Therefore, bicycle safety issues will be more important than ever. And bicycles in the past always had a big problem. There is no direction light to let the rear car knows the next turn. This is also the main reason to cause so many accidents. Another problem is that most bicycles are generally not equipped with rearview mirrors and the rider unknown the rear situations. This paper is to improve the problem of bicycle riding. Combined with the most popular 3D printing technology. Using 3D printing plasticity and high precision to make the entire apparatus and accessories. And the photo-interrupter sensor element is determined as a bicycle steering. Achieve the direction light when the faucet turns 7 degrees. Combined with the ultrasonic module to measure the rear car. Buzzer and light up reminder light within 180cm of the rider. Improve safety when riding. And we explore how to install this system on Ubike. Previous studies of objects, stand or appearance can only be hand-made . Nowadays, the technology that we uses 3D printing not only design a more beautiful appearance. It can also make the length, angle and mechanism more precise and accurate. And the printing speed is fast and can use Environmentally friendly material. Most of the advantages are better than traditional production or handmade.
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10

Hsiao, Po-Wen, and 蕭博文. "Design and Implementation of Smart-Bike Sensing System." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/26p45z.

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碩士
淡江大學
資訊工程學系碩士在職專班
103
This thesis aims to develop an embedded system which is embedded in the bicycle for detecting the environmental information when the rider riding the bicycle. The collected information includes voice, CO2, holes on the road as well as temperature. To achieve this some sensors, including g-sensor, temperature sensor and CO2 sensors should be installed in the Arduino hardware. The information collected by the developed embedded system will be stored locally and will be automatically transmitted to the mobile device when the bicycle has been return at some specific locations.
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Books on the topic "Smart bike"

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Hayhurst, Chris. Bike trekking: Have fun, be smart. New York: Rosen Pub. Group, 2000.

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McCormack, Lee. Prepare to Pin It: A smart approach to mountain bike fitness. Race Line Publishing, 2013.

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Famous!, Too. Biker Smarts. BookBaby, 2020.

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LLC, Motosafer. Motorcycle Gear: The Ultimate Guide to the Safest Helmets, Jackets, Pants, Gloves, Boots, Airbags, & Accessories. Make Smart Buying Decisions, Avoid Life-Threatening Bike Accidents & Ride Confidently. Independently Published, 2019.

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Book chapters on the topic "Smart bike"

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Rakha, Hesham A., Mohammed Elhenawy, Huthaifa I. Ashqar, Mohammed H. Almannaa, and Ahmed Ghanem. "Smart Bike-Sharing Systems for Smart Cities." In Data Analytics for Smart Cities, 111–42. Boca Raton, Florida : CRC Press, Taylor & Francis Group, [2019]: Auerbach Publications, 2018. http://dx.doi.org/10.1201/9780429434983-5.

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Wu, Xinhua, Cheng Lyu, Zewen Wang, and Zhiyuan Liu. "Station-Level Hourly Bike Demand Prediction for Dynamic Repositioning in Bike Sharing Systems." In Smart Innovation, Systems and Technologies, 19–27. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8683-1_3.

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Tanwar, Rajneesh, and Ashwani Chaudhary. "Smart Bike Through Server Using GPS Technology." In Information and Communication Technology for Sustainable Development, 303–9. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3932-4_31.

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Xu, Yongneng, Ren-fei Wu, Qiao Qiao, and Zhu-ping Zhou. "Travel Decision of Shared Bike Based on Subway Transfer." In Green, Smart and Connected Transportation Systems, 611–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0644-4_47.

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Boonjubut, Kanokporn, and Hiroshi Hasegawa. "Multivariate Time Series Analysis Using Recurrent Neural Network to Predict Bike-Sharing Demand." In Smart Transportation Systems 2020, 69–77. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5270-0_6.

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Li, Huichan, Zhiju Chen, Xiaohui Li, and Yadan Yan. "Friendliness Analysis for Bike Trips on Urban Roads Using Logistic Regression Model." In Smart Innovation, Systems and Technologies, 175–82. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8683-1_18.

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Makarova, Irina, Ksenia Shubenkova, Anton Pashkevich, and Aleksey Boyko. "Smart-Bike as One of the Ways to Ensure Sustainable Mobility in Smart Cities." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 187–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61563-9_16.

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Rani, Monika, and O. P. Vyas. "Smart Bike Sharing System to Make the City Even Smarter." In Advances in Computer and Computational Sciences, 43–55. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3770-2_5.

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Heitz, Christoph, Marc Blume, Corinne Scherrer, Raoul Stöckle, and Thomas Bachmann. "Designing Value Co-creation for a Free-Floating e-Bike-Sharing System." In Smart Service Systems, Operations Management, and Analytics, 113–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30967-1_11.

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Aguiari, Davide, Chiara Contoli, Giovanni Delnevo, and Lorenzo Monti. "Smart Mobility and Sensing: Case Studies Based on a Bike Information Gathering Architecture." In Smart Objects and Technologies for Social Good, 112–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76111-4_12.

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Conference papers on the topic "Smart bike"

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Swamy, U. B. Mahadeva, and Abdul Khuddus A. "Smart Bike." In 2019 1st International Conference on Advances in Information Technology (ICAIT). IEEE, 2019. http://dx.doi.org/10.1109/icait47043.2019.8987308.

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Gudavalli, Durga K. Prasad, Bh Sudha Rani, and C. Vidya Sagar. "Helmet operated smart E-bike." In 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS). IEEE, 2017. http://dx.doi.org/10.1109/itcosp.2017.8303138.

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Gimon, Dmitry. "Bike commuters contribution to balance shared bike systems during peak load." In 2018 IEEE International Smart Cities Conference (ISC2). IEEE, 2018. http://dx.doi.org/10.1109/isc2.2018.8656882.

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Chawathe, Sudarshan S. "Mining Bike-Share Data." In 2020 IEEE International Smart Cities Conference (ISC2). IEEE, 2020. http://dx.doi.org/10.1109/isc251055.2020.9239039.

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Grama, Alin, Dorin Petreus, Calin Baciu, Beniamin Bia, Octavian Coca, and Vlad Socaciu. "Smart Bike Improvement Using Embedded Systems." In 2018 41st International Spring Seminar on Electronics Technology (ISSE). IEEE, 2018. http://dx.doi.org/10.1109/isse.2018.8443769.

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Lopes, S. J., Ashutosh Gattelu, Ashwin Ghosalkar, and Steon Gonsalves. "Environment Friendly booster bike." In 2018 International Conference on Smart City and Emerging Technology (ICSCET). IEEE, 2018. http://dx.doi.org/10.1109/icscet.2018.8537313.

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Leme, Thamer R., Francisco do Carmo, Guilherme Pedro Aquino, and Evandro Cesar Vilas Boas. "Smart Bike: Sistema de aluguel de bicicletas." In XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais. Sociedade Brasileira de Telecomunicações, 2021. http://dx.doi.org/10.14209/sbrt.2021.1570721243.

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Maulit, Almasbek, Yerzhan Baiburin, Madiyar Rakhymbek, Gulnara Sadykova, and Aliya Nugumanova. "Statistical and Network Analysis of Shared Bikes – In the Case of Almaty Bike." In 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2021. http://dx.doi.org/10.1109/sist50301.2021.9465943.

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Xu, Feng, Fei Chen, and Yuan Liu. "Bike Sharing Data Analytics for Smart Traffic Managemen." In 2019 5th International Conference on Big Data Computing and Communications (BIGCOM). IEEE, 2019. http://dx.doi.org/10.1109/bigcom.2019.00020.

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Shan, Yu, Dejun Xie, and Rui Zhang. "A Multi-Objective Optimization Model for Bike-Sharing." In ICIT 2019: IoT and Smart City. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3377170.3377175.

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Reports on the topic "Smart bike"

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Fickas, Stephen. Project Phenom: A Smart Bike Project. Transportation Research and Education Center, 2017. http://dx.doi.org/10.15760/trec.200.

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Fickas, Stephen, and Marc Schlossberg. Fast Track: Allowing Bikes to Participate in a Smart Transportation System. Transportation Research and Education Center (TREC), 2019. http://dx.doi.org/10.15760/trec.234.

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