{'fraction_non_alphanumeric': 0.020016012810248198, 'fraction_numerical': 0.0008006405124099279, 'mean_word_length': 5.188118811881188, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Real-time driver advisory system for improving energy economy based on advance driver assistant systems interface

The aim of this work is to present Real-Time Driver Advisory System (RTDAS) for improving energy economy of Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV). System relies on a road map data provided in accordance with the second version of Advance Driver Assistant Systems Interface Specification (ADASIS v2) Protocol. Road map data is then transformed into Electronic Horizon (EH). The Electronic Horizon provides a preview of the road characteristics ahead of the vehicle, which is used for development of a predictive energy economy algorithms. The system is focused on static characteristics of the road ahead such as road slope, curvature, superelevation, speed limits and the traffic signs. Based on this data and vehicle parameters, the system is using algorithms to define if and when to send a message to the driver to release the gas pedal and to achieve higher energy economy, comfort and safety of driving. The releasing of gas pedal triggers an algorithm to adjust the speed using controlled regenerative braking without using mechanical brakes that leads to optimization of vehicle kinetic energy recuperation.