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Estimation of Vehicle Miles Traveled Based on Improved Ant Colony Algorithm
Technical Paper
2020-01-5195
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Vehicle miles traveled (VMT) statistics is a key parameter which has many applications, such as the assessment of vehicle quality, evaluation of driving behavior and oil consumption, and other applications in vehicle monitoring system. In the earlier studies, the calculation of VMT usually focused on improving the accuracy and frequency of vehicle GPS data, but the VMT estimation error due to them were getting smaller with the development of positioning technology. Nowadays in the practical application of internet of vehicles, errors due to the out-of-order location data which caused by communication mechanism have become increasingly obvious. In this paper, we propose a VMT estimate method based on improved ant colony algorithm and local search method which is suitable for dealing with timestamp chaotic location data sequence. To evaluate our method, we use real-world vehicle data gathered by China mobile’s vehicle fleet management products, the analysis result shows the MRE of proposed ant colony algorithm is usually less than 8%, at least 3 percentage points lower than that of uniform motion distance accumulation statistics, at least 7 percentage points lower than that of Euclid distance accumulation statistics.
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Liu, W., Hao, L., and Li, F., "Estimation of Vehicle Miles Traveled Based on Improved Ant Colony Algorithm," SAE Technical Paper 2020-01-5195, 2020, https://doi.org/10.4271/2020-01-5195.Data Sets - Support Documents
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References
- Shi , W. and Liu , Y. Real-Time Urban Traffic Monitoring with Global Positioning System-Equipped Vehicles IET Intelligent Transport Systems 4 2 113 120 2010
- Verma , P. , Yang , H. , Kachroo , P. , and Agarwal , S. Modeling and Estimation of the Vehicle-Miles Traveled Tax Rate Using Stochastic Differential Equations IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 6 818 828 2016
- Paz , A. , Nordland , A. , and Khan , A. Assessing Economic Impacts of Implementing a Vehicle Miles Traveled Fee in Nevada 2012 15th International IEEE Conference on Intelligent Transportation Systems Anchorage, AK 2012 155 159
- Yang , L. , Ke , Z. , Tan , L. , and Jiabin , L. The Research on Real-Time Map-Matching Algorithm 2012 International Conference on Industrial Control and Electronics Engineering Xi’an 2012 1973 1976
- Korkmaz , K. Producing the Location Information with the Kalman Filter on the GPS Data for Autonomous Vehicles 2017 25th Signal Processing and Communications Applications Conference (SIU) Antalya 2017 1 4
- Tuna , G. , Güngör , V.Ç. , and Gülez , K. GPS Aided Extended Kalman Filter Based Localization for Unmanned Vehicles 2012 20th Signal Processing and Communications Applications Conference (SIU) Mugla 2012 1 4
- Dorigo , M. and Gambardella , L.M. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem IEEE Transactions on Evolutionary Computation 1 1 53 66 1997
- Handl , J. , Knowles , J. , and Dorigo , M. Ant-Based Clustering and Topographic Mapping Artificial Life 12 1 35 62 2006
- Mapisse , J.M. , Cardoso , P. , and Monteiro , J.M. Ant Colony Optimization Routing Mechanisms with Bandwidth Sensing 2011 IEEE EUROCON—International Conference on Computer as a Tool Lisbon 2011 1 4