{'fraction_non_alphanumeric': 0.01532567049808429, 'fraction_numerical': 0.0, 'mean_word_length': 5.6440677966101696, '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}}
A collaborative-distributed framework for the long-haul truckload trucking industry

In this paper, we present a framework for collaborative networks in the long-haul truckload trucking industry. To help preserving memberspsila privacy, a distributed design is proposed for the network. Moreover, decisions about when to engage a collaboration and how much information to reveal is totally left to the network participants. The proposed framework integrates a dynamic optimization base that intents to achieve a good trade-off between local optimization representing each network participant personal goals and global optimization representing the network global goals. Issues related to the implementation of the proposed solution approaches in a dynamic setting are also discussed.