Unraveling the Travel Behavior of Carsharing Members from Global Positioning System Traces

2013 ◽  
Vol 2359 (1) ◽  
pp. 59-67 ◽  
Author(s):  
Benoit Leclerc ◽  
Martin Trépanier ◽  
Catherine Morency
Keyword(s):  
Global Positioning System ◽  
Travel Behavior ◽  
Positioning System ◽  
Car Sharing ◽  
Short Trip ◽  
Stop Criterion ◽  
Global Positioning ◽  
The World ◽  
Three Components

As carsharing becomes increasingly popular throughout the world, it would be of interest to understand better the underlying characteristics of the trips made by members when they use the cars. To date, few studies have reported carsharing trip details. This paper presents a methodology to analyze three components of a station-based carsharing member's journey: the locations of the stops, the attributes of the trips, and the characteristics of the trip chains. The method is based on the processing of Global Positioning System traces collected onboard car-sharing vehicles; a 5-min stop criterion is used to divide the trip chains into separate trips. The case study involves the Communauto system in the Greater Montreal area, Quebec, Canada. The study shows that carsharing members make more trips within their trip chains than typical car owners do. However, those trips are shorter and are often made for purposes other than work (shopping or visiting, for example). Members tend to maximize the use of the cars during the rental period (the members are on the move up to 50% of the time for short trip chains and 30% of the time for longer trips).

scholarly journals Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

2021 ◽  
Vol 10 (4) ◽  
pp. 230
Author(s):  
Onel Pérez-Fernández ◽  
Juan Carlos García-Palomares
Keyword(s):  
Global Positioning System ◽  
Catchment Area ◽  
Public Spaces ◽  
Gps Data ◽  
Positioning System ◽  
Urban Centers ◽  
Location Allocation ◽  
Global Positioning ◽  
The City

Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

scholarly journals An autonomous navigational system using GPS and computer vision for futuristic road traffic

2022 ◽  
Vol 12 (1) ◽  
pp. 179
Author(s):  
Prabha Ramasamy ◽  
Mohan Kabadi
Keyword(s):  
Computer Vision ◽  
Global Positioning System ◽  
Navigation System ◽  
Autonomous Navigation ◽  
Road Traffic ◽  
Positioning System ◽  
Traffic System ◽  
Global Positioning ◽  
Navigational System

Navigational service is one of the most essential dependency towards any transport system and at present, there are various revolutionary approaches that has contributed towards its improvement. This paper has reviewed the global positioning system (GPS) and computer vision based navigational system and found that there is a large gap between the actual demand of navigation and what currently exists. Therefore, the proposed study discusses about a novel framework of an autonomous navigation system that uses GPS as well as computer vision considering the case study of futuristic road traffic system. An analytical model is built up where the geo-referenced data from GPS is integrated with the signals captured from the visual sensors are considered to implement this concept. The simulated outcome of the study shows that proposed study offers enhanced accuracy as well as faster processing in contrast to existing approaches.

scholarly journals Destination Estimation for Bus Passengers Based on Data Fusion

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Wusheng Liu ◽  
Qian Tan ◽  
Lisheng Liu
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Time Varying ◽  
Estimation Result ◽  
Bus Stop ◽  
Simulation Based ◽  
Global Positioning ◽  
Novel Method ◽  
Planning And Operation

The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while the alighting information is not available. This paper proposes a novel method to predict the destination of a single bus passenger based on bus smartcard data, metro smartcard data, and global positioning system (GPS) bus data. First, the attractiveness of each bus stop in a bus line was evaluated, considering the attractiveness of nearby metro stations. Then, the exploration and preferential return (EPR) model was employed to estimate the probability of a bus stop to be the alighting stop, i.e., the destination, of a passenger. The estimation result was obtained through a simulation based on the Monte Carlo (MC) algorithm. The effectiveness of our method was proved through a case study on the bus network in Shenzhen, China.

Global Positioning System: A Case Study Focused on Systems Engineering

2008 ◽  
Author(s):  
Randall Bullard ◽  
John Colombi ◽  
G. Richard Freeman
Keyword(s):  
Global Positioning System ◽  
Systems Engineering ◽  
Positioning System ◽  
System A ◽  
Global Positioning

Nonlinear Vision-Based Observer for Visual Servo Control of an Aerial Robot in Global Positioning System Denied Environments

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Dejun Guo ◽  
Hesheng Wang ◽  
Kam K. Leang
Keyword(s):  
Global Positioning System ◽  
Closed Loop ◽  
Servo Control ◽  
Nonlinear Observer ◽  
Positioning System ◽  
Visual Servo ◽  
Visual Servo Control ◽  
Global Positioning ◽  
The World ◽  
Aerial Robot

This paper presents a nonlinear vision-based observer to estimate 3D translational position and velocity of a quadrotor aerial robot for closed-loop, position-based, visual-servo control in global positioning system (GPS)-denied environments. The method allows for motion control in areas where GPS signals are weak or absent, for example, inside of a building. Herein, the robot uses a low-cost on-board camera to observe at least two feature points fixed in the world frame to self-localize for feedback control, without constraints on the altitude of the robot. The nonlinear observer described takes advantage of the geometry of the perspective projection and is designed to update the translational position and velocity in real-time by exploiting visual information and information from an inertial measurement unit. One key advantage of the algorithm is it does not require constraints or assumptions on the altitude and initial estimation errors. Two new controllers based on the backstepping technique that take advantage of the estimator's output are described and implemented for trajectory tracking. The Lyapunov method is used to show asymptotic stability of the closed-loop system. Simulation and experimental results from an indoor environment where GPS localization is not available are presented to demonstrate feasibility and validate the performance of the observer and control system for hovering and tracking a circular trajectory defined in the world frame.

scholarly journals Automatic Identification of Maritime Boundary Alert System using GPS

2018 ◽  
Vol 7 (3.1) ◽  
pp. 20
Author(s):  
A Kavitha ◽  
N Ashok Kumar ◽  
M Revathy
Keyword(s):  
Global Positioning System ◽  
End Users ◽  
Security Requirements ◽  
Automatic Identification ◽  
Positioning System ◽  
Alert System ◽  
Maritime Boundary ◽  
Wide Range ◽  
Global Positioning ◽  
The World

Global Positioning System (GPS) is being used more and more for a wide range of applications. This is a reliable position, navigation for end-users of anywhere in the world or around the globe, on any weather, day or night. The synchronization benefit gives that the GPS has three segments: space, control and client GPS has turned into a broadly utilized route apparatus over the world and turn into a helpful instrument for mapping, overviews, business, logical utilizations, checking and diversion has gone. As in any of the current GPS systems of geographic and entertainment, the security requirements of civilian navigation in the sea are met because the sea border of a country cannot be marked. This work concentrates on the flexibility and utility of a GPS in the ocean. The principle motivation behind the work is to help anglers explore past the limits of different nations. In the event that an angler goes past the limits of the nation, at that point a notice emerges, showing that the anglers have crossed the outskirt. Furthermore, a GSM transmitter interface will make an impression on construct station situated with respect to the shore showing that a vessel has crossed the fringe. Hence protects in the shore can help and give extra help to those anglers if necessary. Remembering about existences of Indian anglers, this gadget has been made to help them not to move past Indian. Overall, it is an endeavor to fabricate an appropriate gadget for the anglers at a sensibly ease.  

scholarly journals Facial recognition system using LBPH face recognizer for anti-theft and surveillance application based on drone technology

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1070-1077
Author(s):  
Li Wang ◽  
Ali Akbar Siddique
Keyword(s):  
Global Positioning System ◽  
Facial Recognition ◽  
Local Binary Patterns ◽  
Recognition System ◽  
Positioning System ◽  
Complex Task ◽  
Global Positioning ◽  
The World ◽  
Facial Recognition System ◽  
Surveillance Application

Providing security to the citizens is one of the most important and complex task for the governments around the world which they have to deal with. Street crimes and theft are the biggest threats for the citizens and their belonging. In order to provide security, there is an urgent need of a system that is capable of identifying the criminal in the crowded area. This paper proposes a facial recognition system using Local Binary Patterns Histogram Face recognizer mounted on drone technology. The facial recognition capability is a key feature for a drone to have in order to find or identify the person within the crowd. With the inception of drone technology in the proposed system, we can use it as a surveillance drone as well through which it can cover more area as compared to the stationary system. As soon as the system identifies the desired person, it tags him and transmits the image along with the co-ordinates of the location to the concerned authorities using mounted global positioning system. Proposed system is capable of identifying the person with the accuracy of approximately 89.1%.

The content and load of preseason field-based training in a championship-winning professional rugby league team: A case study

2022 ◽  
pp. 174795412110648
Author(s):  
Matthew Fairbank ◽  
Jamie Highton ◽  
Matthew Daniels ◽  
Craig Twist
Keyword(s):  
Heart Rate ◽  
Global Positioning System ◽  
High Speed ◽  
Physiological Responses ◽  
Skill Training ◽  
Rugby League ◽  
Positioning System ◽  
Global Positioning ◽  
Metabolic Distance

This study reports on the content and periodisation of the preseason field-based training for a professional rugby league team. Thirty professional male rugby league players (26 ± 5 years, 180.9 ± 6.5 cm, 94 ± 9 kg) completed an 8-week preseason. Global positioning system devices and heart rate were used to monitor physical and physiological responses of different field-based training components (speed, conditioning, rugby skill and game-based training). Rugby skill training contributed the most to the total distance covered, conditioning was the greatest contributor to high-speed running (>15 km/h) and game-based training provided the greatest high metabolic distance (>20 W/kg) and overall external load. Game-based training provided the greatest time with heart rate ≥80% estimated maximum. The weekly preseason cycle had lower loads on Monday and Thursday whereas Tuesday and Friday produced the highest loads. The preseason described herein adopted a progressive overload comprising a weekly undulating cycle. This study emphasises how skill and games-based training contributes significantly to the overall load of a professional rugby league team's preseason with more traditional conditioning promoting high-speed running load and high metabolic load.

Global Positioning System Systems Engineering Case Study

2007 ◽  
Author(s):  
Patrick J. O'Brien ◽  
John M. Griffin
Keyword(s):  
Global Positioning System ◽  
Systems Engineering ◽  
Positioning System ◽  
Global Positioning
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