Automatic Vehicle Location and Monitoring System based on Data Distribution Service

Almadani, Basem; Khan, Shehryar; Sheltami, Tarek R.; Shakshuki, Elhadi M.; Musaddiq, Muhammad; Saeed, Bilal Bin

doi:10.1016/j.procs.2014.08.021

Cited by 12 publications

(7 citation statements)

References 14 publications

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“…The obtained results for latency, jitter, and throughput for Wifi over DDS are tabulated in Tables 4-7. There is significant improvement in the results compared to [23] because of the introduction of QoS policies as well as controlled environment for experimentation making sure that only DDS applications are running over WiFi. For latency and jitter, 1024-byte payload is used.…”

Section: Results and Analysismentioning

confidence: 99%

AVL and Monitoring for Massive Traffic Control System over DDS

Almadani

Khan

Bajwa

et al. 2015

Mobile Information Systems

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This paper proposes a real-time Automatic Vehicle Location (AVL) and monitoring system for traffic control of pilgrims coming towards the city of Makkah in Saudi Arabia based on Data Distribution Service (DDS) specified by the Object Management Group (OMG). DDS based middleware employs Real-Time Publish/Subscribe (RTPS) protocol that implements many-to-many communication paradigm suitable in massive traffic control applications. Using this middleware approach, we are able to locate and track huge number of mobile vehicles and identify all passengers in real-time who are coming to perform annual Hajj. For validation of our proposed framework, various performance matrices are examined over WLAN using DDS. Results show that DDS based middleware can meet real-time requirements in large-scale AVL environment.

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Section: Results and Analysismentioning

confidence: 99%

AVL and Monitoring for Massive Traffic Control System over DDS

Almadani

Khan

Bajwa

et al. 2015

Mobile Information Systems

Self Cite

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“…In case,[1] to eliminate redundant data, some processing in C# is applied to the response string, and useful data are extracted from the received data. In this case[2] 5139.647626, 3236.694076, and 9 show the longitude, latitude and the number of satellites, respectively in National Marine Electronics Association (NMEA) data format. GPS data formatting output from SIM908 is according to NMEA string protocol.…”

Section: Methodsmentioning

confidence: 99%

“…Performance results have been proved for LAN, WLAN, and Bluetooth in the data distribution service. [2] The Vehicle Tracking System in application consists of an Arduino platform, XBee module, and global positioning system (GPS). The purpose is to obtain coordinates from GPS and send them via the XBee wireless technology and display the results on Google earth.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a customable automatic vehicle location system in ambulances and emergency vehicle systems

Shirani

Sehhati

2019

J Med Signals Sens

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Background:Automatic vehicle location (AVL) refers to a system that calculates the geographical location of any vehicle, i.e., latitude and longitude. Vehicle location information about one or more moving vehicles can be stored in the internal memory and accessed when vehicles are available (offline tracking). It is also possible to get location information on a real-time basis (online tracking). The real-time tracking systems designed to date may incorporate three devices: global positioning system (GPS), geographic information system, and cellular communication platforms that may be either a general packet radio service (GPRS) or any private and local radiofrequency network.Methods:The GPS-based navigation system has been designed so as to allow for user-friendly real-time tracking applications for any emergency vehicles like ambulances. First, GPS coordinates are obtained from the SIM908 module and sent via to a server transmission control protocol/internet protocol. Server codes, which are written in C#, load Google map to show real-time location.Results:We designed online tracking AVL hardware in the two simple and advanced versions. The latter enables both the ambulance driver and the data center to monitor path real-time besides enabling the vehicle driver to receive and make calls and send or receive messages. The former only sends latitude and longitude to the data server continuously, and the path travelled by vehicle is displayed.Conclusion:SIM908 integrates GSM, GPRS, and GPS in one package. It can be a proper choice for real-time economic tracking systems despite its low accuracy in finding geolocations.

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“…As reported by [25,26], AFC data provide ample information on users' pairs of tap instants in stations, while AVL data provide both departure and arrival times in stations for each train run along its route [41].…”

Section: Statistical Estimationmentioning

confidence: 99%

On Individual Repositioning Distance along Platform during Train Waiting

Leurent

Xie

2018

Journal of Advanced Transportation

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Out of waiting times spent in rail stations on boarding platforms, some part can be reinvested by the trip-makers to optimize their positions of boarding and save on travel time for the rest of their trips. This paper provides a stochastic model, in which user's journey is decomposed into phases of, successively, walking in the access station, platform positioning, waiting for boarding, train riding, and walking in the egress station. Walking speed and target position are modeled as individual factors, and in-station distances as random variables. Service timetable is exogenous. This makes egress times and exit instants random variables that are characterized by distribution and mass probability functions under closed-forms, for both single and distributed walking speeds. Specific statistical distributions are shown to ease computation. The resulting PDF formulae make likelihood functions of the model parameters. Maximum likelihood estimation is proposed and applied to a case study of commuter rail line in Paris: journeys between stations Vincennes and La Défense along line A of the Regional Express Railways. Based on data from Automated Fare Collection and Automatic Vehicle Location systems and pertaining to an individual user, satisfactory results were obtained.

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Automatic Vehicle Location and Monitoring System based on Data Distribution Service

Cited by 12 publications

References 14 publications

AVL and Monitoring for Massive Traffic Control System over DDS

AVL and Monitoring for Massive Traffic Control System over DDS

Design and implementation of a customable automatic vehicle location system in ambulances and emergency vehicle systems

On Individual Repositioning Distance along Platform during Train Waiting

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