A Participatory Sensing Approach for Personalized Distance-to-Empty Prediction and Green Telematics

Chien-Ming Tseng, Chi-Kin Chau, Sohan Dsouza, Erik Wilhelm
2015 Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems - e-Energy '15  
Participatory sensing is an emerging concept that integrates crowd-sourced data collection and knowledge discovery of collective behavior. Capitalizing on the advent of abundant sensors and information collection systems in near-future vehicles, we develop a participatory sensing based system and its methodologies for driving energy efficiency applications. Distance-to-empty (DTE) is the distance an electric or internal-combustion engine (ICE) vehicle can reach before its energy/fuel is
more » ... d, which is determined by a variety of uncertain factors, such as driving behavior, terrain, types of road, traffic, and vehicle specification. Green telematics aims to optimize the route selection with lower energy consumption. In this paper, we explore an effective approach that integrates the vehicle data gathered from participatory sensing to provide more accurate personalized DTE prediction and green telematics. Our approach relies on extracting the driver/vehicle/route dependent features and discovering correlations from collective driving data. We also present concrete case studies of our results, such as (1) DTE prediction for EVs based on the data of ICE vehicles, (2) classification and recommendations of energy-efficient driving behavior, and (3) route-level energy consumption geo-fencing and planning.
doi:10.1145/2768510.2768530 dblp:conf/eenergy/TsengCDW15 fatcat:gqg343klijefrok4g6jjkiyp5y