Browsing by Author "Lo, Chi-Lun"

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A Fuel-Efficient Route Plan Method Based on Game Theory
(2019-01-01)
Lo, Chi-Lun
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Chen, Chi-Hua
;
Hu, Jin-Li
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Lo, Kuen-Rong
;
Cho, Hsun-Jung
This study adopts a fuel consumption estimation method to measure the consumed fuel quantity of each vehicle speed interval (i.e., a cost function) in accordance with individual behaviors. Furthermore, a mobile app is designed to consider the best responses of other route plan apps (e.g., the shortest route plan app and the fast route plan app) and plan the most fuel-efficient route according to the consumed fuel quantity. The numerical analysis results show that the proposed fuel-efficient route plan app can effectively support fuel-saving for logistics industries.
Fuel Consumption Estimation System and Method with Lower Cost
(2017-07-01)
Lo, Chi-Lun
;
Chen, Chi-Hua
;
Kuan, Ta-Sheng
;
Lo, Kuen-Rong
;
Cho, Hsun-Jung
This study proposes a fuel consumption estimation system and method with lower cost. On-board units can report vehicle speed, and user devices can send fuel information to a data analysis server. Then the data analysis server can use the proposed fuel consumption estimation method to estimate the fuel consumption based on driver behaviours without fuel sensors for cost savings. The proposed fuel consumption estimation method is designed based on a genetic algorithm which can generate gene sequences and use crossover and mutation for retrieving an adaptable gene sequence. The adaptable gene sequence can be applied as the set of fuel consumption in accordance with the pattern of driver behaviour. The practical experimental results indicated that the accuracy of the proposed fuel consumption estimation method was about 95.87%.