Transportation

Activities of Daily Living


Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Dataset Details

Citation Author(s):
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] , "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Nov. 24, 2017.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = { },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
ER -
. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
. (2017). "Activities of Daily Living." Web.
1. . Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
. "Activities of Daily Living." doi: 10.21227/H2PS74

On specific energy consumption of conventional, series hybrid and fully electric buses


Making use of a specifically designed SW tool, the authors here presents the results of an activity for the evaluation of energy consumption of buses for urban applications. Both conventional and innovative transport means are considered to obtain interesting comparative conclusions. The SW tool simulates the dynamical behaviour of the vehicles on really measured paths making it possible to evaluate their energetic performances on a Tank to Wheel (TTW) basis. Those data, on such a wide and comparable range were still unavailable in literature.

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Dataset Details

Citation Author(s):
Submitted by:
Carlo Villante
Last updated:
Wed, 10/25/2017 - 03:44
DOI:
10.21227/H2M62R
 
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[1] , "On specific energy consumption of conventional, series hybrid and fully electric buses", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2M62R. Accessed: Nov. 24, 2017.
@data{h2m62r-17,
doi = {10.21227/H2M62R},
url = {http://dx.doi.org/10.21227/H2M62R},
author = { },
publisher = {IEEE Dataport},
title = {On specific energy consumption of conventional, series hybrid and fully electric buses},
year = {2017} }
TY - DATA
T1 - On specific energy consumption of conventional, series hybrid and fully electric buses
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2M62R
ER -
. (2017). On specific energy consumption of conventional, series hybrid and fully electric buses. IEEE Dataport. http://dx.doi.org/10.21227/H2M62R
, 2017. On specific energy consumption of conventional, series hybrid and fully electric buses. Available at: http://dx.doi.org/10.21227/H2M62R.
. (2017). "On specific energy consumption of conventional, series hybrid and fully electric buses." Web.
1. . On specific energy consumption of conventional, series hybrid and fully electric buses [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2M62R
. "On specific energy consumption of conventional, series hybrid and fully electric buses." doi: 10.21227/H2M62R

travel time data

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Dataset Details

Citation Author(s):
Submitted by:
Sheng Jin
Last updated:
Thu, 10/12/2017 - 13:01
DOI:
10.21227/H2R33B
Data Format:
 
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[1] , "travel time data", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2R33B. Accessed: Nov. 24, 2017.
@data{h2r33b-17,
doi = {10.21227/H2R33B},
url = {http://dx.doi.org/10.21227/H2R33B},
author = { },
publisher = {IEEE Dataport},
title = {travel time data},
year = {2017} }
TY - DATA
T1 - travel time data
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2R33B
ER -
. (2017). travel time data. IEEE Dataport. http://dx.doi.org/10.21227/H2R33B
, 2017. travel time data. Available at: http://dx.doi.org/10.21227/H2R33B.
. (2017). "travel time data." Web.
1. . travel time data [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2R33B
. "travel time data." doi: 10.21227/H2R33B