Comparison between different bike meters
Table 1: summary of testing equipment
Echowell Bicycle Computer BRi 1 | ||
Feature | Wired, Functions: Current Speed, Trip Distance, Odometer | |
URL | http://www.echowell.com.tw/product.php?page_id=10 | |
Endomondo on HTC Legend Smart phone | ||
Feature | Support cycling, walking, running & vehicle modes Display position coordinates, speed, altitude, time, distance & calorie Supports speed meter, track log, finder On line sharing Post to Facebook | |
URL | http://www.endomondo.com/login | |
Holux GPSport 245 outdoor GPS | ||
Features | Support cycling, walking, running & vehicle modes Display position coordinates, speed, altitude, time, distance & calorie Supports speed meter, track log, finder Synchronize track logs and geo-tagged photos with map Save log data and 200,000 waypoints | |
URL | http://www.holux.com/JCore/en/products/products_content.jsp?pno=415 | |
Bike: Merida Mountain bike MTA-57 | ||
Usage | Major test platform, equipped with the above three devices | |
http://www.merida.tw/product_detail.asp?btn=3&cat=1&cat2=13&pid=634 | ||
Car: Toyota Camry | ||
Usage | For cross reference about the speed and distance of above three devices | |
URL | www.toyota.com.tw | |
Experiment 1
Devices: Bike, Bri1, Endomondo, Holux
Time: 10/7/2011, 1120~1150
Place: Fengyuan district of Taichung city
Environment: outdoor, clear sky
Travel Distance:
Bri1:5.9Km
Endomondo: 5.58Km
Holux: 5.57Km
Finding: the traveling distance of Bri is slightly higher than GPS devices. The speed displayed on Bri was constantly one km more than other two devices
Experiment 2:
Devices: car, Endomondo, Holux
Time: 10/7/2011, 1300~1540
Place: Taichung city
Environment: urban area
Travel distance:
Car: 35.9km
Endomondo: 36.69km
Holux: 36.68Km
Finding: the traveling distance of GPS devices is slightly higher than car’s
Experiment 3
Devices: Bike, Bri1, Endomondo, Holux
Time: 10/8/2011, 0710~0832
Place: Mountain area in Fengyuan district of Taichung city
Environment: outdoor, clear sky
Travel Distance:
Bri1: 19.5Km
Endomondo: 18.18Km
Holux: 18.3Km
Finding: same as at Test 1, the traveling distance of Bri is slightly higher than GPS devices. The speed displayed on Bri was constantly one km more than other two devices
Fig. 1 The locus, speed, and attitude recorded by Holux GPS data logger
Figure 1 shows the locus, speed, and attitude recorded by Holux GPS data logger for test 3. We can see that this is at mountain area; the attitude variance is about 400 meters.
Experiment 4:
Devices: car, Endomondo, Holux
Time: 10/8/2011, 1900~1930
Place: Taichung city
Environment: urban area
Travel distance:
Car: 21.3km
Endomondo: 22.29km
Holux: 21.5Km
Finding: same as test 2, the traveling distance of GPS devices is slightly higher than car’s. But the distance record of Holux is almost same as of car.
Fig. 2 The locus, speed, and attitude recorded by Holux GPS data logger
Figure 2 shows the locus, speed, and attitude recorded by Holux GPS data logger for test 4. We can see that this is at urban area; the average speed is about 80 km/hr.
Experiment 5
Devices: Bike, Bri1, Endomondo, Holux
Time: 10/9/2011, 0710~0835
Place: Mountain area in Fengyuan district of Taichung city
Environment: outdoor, clear sky
Travel Distance:
Bri1: 19.11Km
Endomondo: 17.75Km
Holux: 18.02Km
Finding: same as at Test 1 and 3, the traveling distance of Bri is slightly higher than GPS devices. The speed displayed on Bri was constantly one km more than other two devices
Fig. 3 The locus, speed, and attitude recorded by Holux GPS data logger
Figure 3 shows the locus, speed, and attitude recorded by Holux GPS data logger for test 5. We can see that this is at mountain area; the attitude variance is about 400 meters.
Conclusions:
Taking car as reference, GPS data logger is slightly faster than car, the difference is about 5%. And the bike meter is slightly higher than GPS data logger, the difference is about 5-7%.
Therefore, the relationship between these three devices is: Bike meter > GPS data logger > Car. For reference purpose, this error is margin.
沒有留言:
張貼留言