Design and Implementation of Agricultural Logistics Distribution Vehicle Scheduling System Based on LBS

Abstract:

Lack of effective and real-time information in agricultural logistics distribution, which will cause the vehicle cannot accurately obtain the current location and cannot select the best distribution route, results in serious vehicle load and resource waste. Aiming at the problems, this paper proposes an logistics distribution vehicle scheduling system based on LBS. Using three-tier system architecture including application layer, logic layer and data layer, the system provides services of location, navigation, route planning, surrounding location query and agricultural news. Mobile clients can not only receive the latest news about agriculture, but also receive real-time vehicle location and query distribution route planning, which will help the delivery staff complete distribution tasks efficiently, consequently reduce logistics distribution costs and the waste of resources.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 5504-5507
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.5504
• Online since: July 2014
• Authors: Rui Ma, Guo Zhen Xie*, Chi Zhang
• Keywords: Agriculture, LBS, Logistics Distribution, Mobile Clients, Route Planning

References

[1] X. Chen, J. Li, F. Yang, et al: Design and implementation of vehicle routing optimization system based on toll-by-weight. Manufacture Information Engineering of China, 17 (2007), pp.69-72.

[2] C A. Marentakis, M. Bourlakis, I. Vlachos, et al: Telematics for efficient transportation and distribution of agrifood products. Intelligent Agrifood Chains and Networks, John Wiley & Sons (2011), p.87.

DOI: 10.1002/9781444339895.ch6

[3] L. W. Tang, and J. B. Yuwen: The study on digital traffic service system and key technologies of location based service. 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (2013), pp.613-616.

DOI: 10.2991/rsete.2013.148

[4] K. Petrova, and B. Wang: Location-based services deployment and demand: a roadmap model. Electronic Commerce Research, Vol. 11-1 (2011), pp.5-29.

DOI: 10.1007/s10660-010-9068-7

[5] D. C. Huang: Location Based Service combining Closed Range Photogrammetry and Assisted-GPS Technologies. Master Thesis, National Taiwan University of Science and Technology (2006).

[6] W. Gibson: Implementing a Personalized and Location Based Service for Delivering Advertisements to Android Mobile Users. European Journal of Innovation and Business, Vol. 10-1 (2013), pp.1-5.

[7] S. Merrill, N. Basalp, et al: Privacy through uncertainty in location-based services. IEEE 14th International Conference on Mobile Data Management, Vol. 2 (2013), pp.67-72.

DOI: 10.1109/mdm.2013.71