{'fraction_non_alphanumeric': 0.02181818181818182, 'fraction_numerical': 0.0, 'mean_word_length': 5.403100775193798, '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}}
Multiobjective Route Selection Model and Its Solving Method Based on Genetic Algorithm

In the area of Intelligent Transport Systems, the multiobjective route selection problem (mRSP) is one of the important key problems that need to be installed in car navigation system (CNS). In this paper, a model for mRSP that includes three objectives, minimizing driving distance, minimizing driving time and minimizing driving cost, is proposed and the analysis of each objective function is described. After, a solution approach constructed in three-phase framework is developed to solve the mRSP problem. Finally, we demonstrate the applicability and evaluate the efficiency of the proposed solution approach by a large-scale digital road map data. The experimental results show the effectiveness of the proposed solution approach.