Mobile Cockpit System for Enhanced Electric Bicycle Use (original) (raw)
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The smart e-bike monitoring system (SEMS) is a platform for the real-time acquisition of usage data from electrically-assisted bikes (also called pedelecs or e-bikes). It is autonomous (runs off the bike battery), replicable (open source and open hardware), scalable (different fleet sizes) and modular (sensors can be added), so it can be used for further research and development. The system monitors location (global positioning system), rider control data (level of assistance) and other custom sensor input in real time. The SEMS data feeds an online interface for data analysis, for riders to view their own data and for sharing on social media. The basic system can be replicated by other researchers and can be extended with modules to explore various issues in e-bike research. The source code and hardware design are publicly available, under the General Public License, for non-commercial use. SEMS was implemented on 30 bikes and collected data during 10 months of real-word trials in the UK. This study details the design and implementation of the hardware and software, discusses the system use and explores features for future design iterations. The SEMS turns singular e-bikes into a networked fleet and is an example of the internet of things in the cycling context.
Automatic control of cycling effort using electric bicycles and mobile devices
World Congress on Engineering, 2015
This paper describes the development and evaluation of a novel effort control system for cycling, which contributes to promote the users’ mobility and physical health. This system provides automatic control of the motor assistance level of an electric bicycle in order to ensure that the cyclist’s effort remains inside the desired target zone, regardless of changes in other variables which normally affect the effort, such as the slope of the road. The system presented in this paper controls the pedaling resistance perceived by the cyclist through the use of a sensor device placed inside of the bicycle crankset, which provides the required torque signal. The data processing, effort control algorithm and user interface are implemented in a smartphone application, whereas a microcontroller on the bicycle is responsible for the data acquisition, wireless data exchange with the smartphone, and real-time control of the motor assistance level. Experimental results validate the effectiveness of the implemented effort control system.
Velocity : A System for a Smart Bike Management
2017
The present paper presents the development of the VeloCity project which seeks to promote the cycling as a part of daily transport and recreation. One of the main objectives is integration of bicycle into urban multimodal mobility and urban planning and other relevant policy sectors where cycling plays an important role. For obtaining the goal a survey is conducted locally and via Internet and the results are analyzed; user requirements analysis is conducted through information resources study, and a number of user scenario are defined. Basic parameters of a smart bicycle are defined through summarizing the most interesting and useful user scenarios, applicable for more safety, flexible and comfortable cycling. The user scenarios are the base for hardware and software development for a smart bicycle, selection of proper technologies, building of a prototype and experimental platform for the smart system testing.
Workshop on Intelligent Cyclist Support Systems and Applications
2021
Although the number of cycling accidents increases, technology to improve traffic flow and safety was predominantly researched in the context of motor-powered vehicles in the past. While new assistance systems are being installed for driving safety in passenger cars, a similar development is lacking for bicycles. Although cycling support systems are slowly becoming an important research topic, there is still limited work addressing intelligent and collaborative applications for bikes. In this workshop, we will discuss and prototype potential intelligent support systems and their applications in the cycling domain. Our goal is to bring cycling and technology enthusiasts together to discuss and develop possible intelligent support systems that can enhance the cycling experience and make bikes a safer mode of transport.
Implementation of Conceptual Smart Bicycle through Internet of Things
International Journal of Modern Trends in Engineering and Research, 2016
In the modern era of transportation, due to the advent of global warming, the exigency of pollution free travel is becoming more omnipresent day by day. This fosters the need for an Eco- friendly vehicle that has features akin to those in contemporary vehicles. The dearth of such features in the aforementioned Eco-friendly vehicles needs to be addressed. The proposed system involves application of features such as navigational, vehicular tracking as well as adaptive lights in terms of luminosity of surrounding light to the quintessential example of Eco-friendly vehicles i.e., bicycles. Keywords—transport; internet of things; sensors; Bluetooth; microcontroller; openstreetmaps. I. INTRODUCTION On the current trajectory of global warming, greenhouse gas emissions from transportation vehicles may become one of the greatest drivers of human-induced climate change. Transportation vehicles such as cars can't harness zero-emissions energy sources without sophisticated and expensive ene...
A visualization and analysis approach of cyclist data obtained through sensors
2017 IEEE First Summer School on Smart Cities (S3C), 2017
Solutions for smart cities are being created everywhere in the world, using technology to improve urban infrastructure and make urban centers more efficient and better to live. In this way, the proposal of this work is based on the capture of information through sensors in a smart city context. Sensors are coupled on a bicycle and connected to an Arduino and a Mobile Application. After this, the captured data are saved in a cloud database, displayed and analyzed through a Web Application. In this work, our methodology is organized in three main phases: (i) data collection of the surface in which the cyclist is traveling, and the ultrasonic distance sensor, to identify areas of risk based on the proximity of objects from bicycle, (ii) data analysis and data classification, using machine learning concepts and (iii) data visualization, using map views in a Web Application. This methodology allows the identification of injury risk situations to cyclists. The main contributions of this w...
EV-Cockpit- Mobile Personal Travel Assistance for Electric Vehicles
This paper describes the concept and a prototype proposal for a mobile information system to support the mobility process in cities, such as it gives recommendations to drivers about Public Transportation, Car or Bike sharing systems. Electric Vehicles (EVs) integration will contribute to the reduction of usage of private cars in the cities and also to decrease the CO 2 emissions. EVs will play an important role in the integration of renewable energy sources (intermittent sources) in the open Electrical Market, and the complexity of the charging process will be a great opportunity for the development of systems oriented to mobile devices and to social networks. The main objective of this proposal is the creation of a platform based on successful approaches developed in the computer science area, like recommender systems, cooperative systems and social networks, to help the creation and establishment of smart cities.
Unveiling E-Bike Potential for Commuting Trips from GPS Traces
ISPRS International Journal of Geo-Information, 2017
Common goals of sustainable mobility approaches are to reduce the need for travel, to facilitate modal shifts, to decrease trip distances and to improve energy efficiency in the transportation systems. Among these issues, modal shift plays an important role for the adoption of vehicles with fewer or zero emissions. Nowadays, the electric bike (e-bike) is becoming a valid alternative to cars in urban areas. However, to promote modal shift, a better understanding of the mobility behaviour of e-bike users is required. In this paper, we investigate the mobility habits of e-bikers using GPS data collected in Belgium from 2014 to 2015. By analysing more than 10,000 trips, we provide insights about e-bike trip features such as: distance, duration and speed. In addition, we offer a deep look into which routes are preferred by bike owners in terms of their physical characteristics and how weather influences e-bike usage. Results show that trips with higher travel distances are performed during working days and are correlated with higher average speeds. Usage patterns extracted from our data set also indicate that e-bikes are preferred for commuting (home-work) and business (work related) trips rather than for recreational trips.
Towards a Sustainable City for Cyclists: Promoting Safety through a Mobile Sensing Application
Sensors, 2021
Riding a bicycle is a great manner to contribute to the preservation of our ecosystem. Cycling helps to reduce air pollution and traffic congestion, and so, it is one of the simplest ways to lower the environmental footprint of people. However, the cohabitation of cars and vulnerable road users, such as bikes, scooters, or pedestrians, is prone to cause accidents with serious consequences. In this context, technological solutions are sought that enable the generation of alerts to prevent these accidents, thereby promoting a safer city for these road users, and a cleaner environment. Alert systems based on smartphones can alleviate these situations since nearly all people carry such a device while traveling. In this work, we test the suitability of a smartphone based alert system, determining the most adequate communications architecture. Two protocols have been designed to send position and alert messages to/from a centralized server over 4G cellular networks. One of the protocols i...