{'fraction_non_alphanumeric': 0.014900662251655629, 'fraction_numerical': 0.0, 'mean_word_length': 4.897560975609756, '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}}
Dynamic Resource Allocation Strategy for Low Cost Smart Parking System

This paper introduces a new practical solution to overcome limited resources associated with high customer demand issues such as limited availability of parking space in building complex. In the globalization era, where the urban population is increasing, more cars are being used thus increasing the demand for parking space and contributing to traffic congestion. In general, everyone has his/her own intention for going to a building complex and based on that, he/she can estimate the amount of time to be spent there. The concept introduced categorized the parking space into several categories based on the estimated time spent at the building complex. By implementing this concept within the smart system, we will be able to allocate resources dynamically using the scheduling system of Google maps. With the integration of the Internet of Thing (IoT), the smart parking guidance system (SPGS) can allocate the parking space even when it is not available prior to the user entering the parking lot since the system knows when it is going to be vacant next so the system can match it with the estimated time of arrival of the user.