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ISPRS Int. J. Geo-Inf. 2018, 7(3), 94; https://doi.org/10.3390/ijgi7030094

A Distance-Adaptive Refueling Recommendation Algorithm for Self-Driving Travel

1,2,* , 2,3,* , 1,2
and
1,2
1
School of Tourism and Geographic Science, Yunnan Normal University, Kunming 650500, China
2
GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Kunming 650500, China
3
School of Information Science, Yunnan Normal University, Kunming 650500, China
*
Authors to whom correspondence should be addressed.
Received: 12 December 2017 / Revised: 2 March 2018 / Accepted: 7 March 2018 / Published: 12 March 2018
(This article belongs to the Special Issue Mapping for Autonomous Vehicles)
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Abstract

Taking the maximum vehicle driving distance, the distances from gas stations, the route length, and the number of refueling gas stations as the decision conditions, recommendation rules and an early refueling service warning mechanism for gas stations along a self-driving travel route were constructed by using the algorithm presented in this research, based on the spatial clustering characteristics of gas stations and the urgency of refueling. Meanwhile, by combining ArcEngine and Matlab capabilities, a scenario simulation system of refueling for self-driving travel was developed by using c#.net in order to validate and test the accuracy and applicability of the algorithm. A total of nine testing schemes with four simulation scenarios were designed and executed using this algorithm, and all of the simulation results were consistent with expectations. The refueling recommendation algorithm proposed in this study can automatically adapt to changes in the route length of self-driving travel, the maximum driving distance of the vehicle, and the distance from gas stations, which could provide variable refueling recommendation strategies according to differing gas station layouts along the route. Therefore, the results of this study could provide a scientific reference for the reasonable planning and timely supply of vehicle refueling during self-driving travel. View Full-Text
Keywords: intelligent transportation; recommendation algorithm; distance adaptive; spatial cluster; K-Means; refueling; APP intelligent transportation; recommendation algorithm; distance adaptive; spatial cluster; K-Means; refueling; APP
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Xu, Q.; Yang, K.; Peng, S.; Hong, L. A Distance-Adaptive Refueling Recommendation Algorithm for Self-Driving Travel. ISPRS Int. J. Geo-Inf. 2018, 7, 94.

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