Design Improvements Done in Telematics System Towards Betterment of Services Offered to Fleet Customers

2013 ◽  
Author(s):  
Ramya Natarajan ◽  
Ganesan Swaminathan
Keyword(s):  
Telematics System

Telematics system for the intelligent transport and distribution of medicines

2013 ◽  
Vol 7 (1) ◽  
pp. 131-137 ◽  
Author(s):  
Ignacio Julio Garcia Zuazola ◽  
Asier Moreno ◽  
Mohamed A. Ziai ◽  
Nekane Sainz ◽  
Ignacio Angulo ◽  
...  
Keyword(s):  
Intelligent Transport ◽  
Telematics System

Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback

2010 ◽  
Vol 37 (10) ◽  
pp. 6723-6736 ◽  
Author(s):  
Chia-Li Lin ◽  
Meng-Shu Hsieh ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Telematics System

Estimation of running resistance of electric trains based on on-board telematics system

2015 ◽  
Vol 22 (3) ◽  
pp. 277 ◽  
Author(s):  
Szilárd Aradi ◽  
Tamás Bécsi ◽  
Péter Gáspár
Keyword(s):  
Telematics System

scholarly journals Operational characteristics of a machine-tractor unit for direct sowing of barley using the JD LINK telematics system

2021 ◽  
Vol 13 (3) ◽  
pp. 276-279
Author(s):  
G. Tihanov ◽  
G. Hristova
Keyword(s):  
Diesel Fuel ◽  
Engine Speed ◽  
Irregular Shape ◽  
Field Size ◽  
Idle Mode ◽  
Rectangular Shape ◽  
Operational Characteristics ◽  
The Difference ◽  
Telematics System ◽  
Direct Sowing

Abstract. A study has been conducted for some operational indicators of a machine-tractor unit (MTU) for direct sowing of barley. The data for this study has been collected and retrieved by using the JD Link telematics system from two different fields sown with barley: field A with irregular shape and area of 13.75 ha and field B with rectangular shape and area of 16.26 ha. It was found that for both fields the values for the most monitored parameters were very close as follows: for the engine speed of the sowing unit during working stroke – 1553.65 min-1 (A) and 1586.11 min-1 (B) (the difference is <2.08%); for the idle mode of the sowing unit – 900.08 min-1 (A) and 905.63 min-1 (B) (the difference is <0.62%); for the actual working speed – 9.97 km/h (А) and 10.16 km/h (В) (the difference is <1.9%), registered when the MTU is performing the technological operation “sowing”; those parameters of MTU are nor influenced by the field size and shape. Larger differences in values between the two fields were established in terms of the relative share of engine used – 19.98% (A) and 21.55% (B) (the difference is <7.3%) and for the consumed diesel fuel (in field А it was 7.2% liters higher than in field В, respectively, 11.7% higher referring to the average diesel fuel consumption – liters per hour). The actual hourly productivity in field A was 20% lower than in field B – 3.05 vs 3.81, which is due to the fact that in the field with irregular shape – A the sowing unit made more turns at the end of the levels than in the field with rectangular shape – B.

scholarly journals Analysis of aeronautical information potential incompatibility – case study

2017 ◽  
Vol 41 (1) ◽  
pp. 59-82
Author(s):  
Ewa Dudek ◽  
Michał Kozłowski
Keyword(s):  
Information Quality ◽  
Guidance System ◽  
Air Transport ◽  
Complex Method ◽  
System A ◽  
Fundamental Part ◽  
The Subject ◽  
Information Chain ◽  
Telematics System

Abstract This article is a continuation of the authors’ study on the ways to ensure the quality and safety of aeronautical data and information. In its content the Integrated Aeronautical Information Package was presented and its fundamental part AIP Poland was described. In addition, the docking guidance system A-VDGS, being an example of implementation of telematics system in air transport, was discussed as well as its requirements and schematic representation were attached. In the following part of the publication an analysis of AIP Poland in terms of the mentioned aircrafts’ docking systems was performed and a discrepancy between the requirements published in ICAO Annex 14 and published information for aerodrome EPWA was noticed. The indicated case of published incompatibility confirms the necessity to develop and implement a complex method of aeronautical data and information quality assurance at all stages of aeronautical data and information chain, which will be the subject of authors’ further study.

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