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Here's a quick rundown of how it works:\n\nIn the link.csv File: We have introduced a new field - restricted_turn_nodes_p1. This field represents nodes within the network where left turns and possibly U-turns are prevented. The intention is to facilitate improved traffic flow and manage congestion during specified periods. For example, the 'AM' period represents 'period 1'.\nIf you have a left-turn movement from node 41 to 40, then to 464, you'd record the value '464' in the restricted_turn_nodes_p1 field for the link node 41 to 40 in the link.csv.\n\nIn the link_performance_scenario_...csv File: There are two new fields introduced post the 'volume' field (which covers all modes). These are:\nrestricted_turn_nodes\nauto_turn_volume\nIf a user has specified a restricted turn node for a particular demand period, the system will display this in the restricted_turn_nodes field and the corresponding turn volume in auto_turn_volume. This volume strictly includes auto mode traffic, aligning with the values in the person_vol_d field of the same file.\n\nThe auto_turn_volume presents data as a string such as node_id: turn volume, where 'node_id' is the ongoing node id from the current line.\n\nAs an example, consider that node 464 is displayed in the restricted_turn_nodes field for the 'AM' period. You might observe no volume display in the auto_turn_volume field.\n\nHowever, if you remove node 464 from the restricted_turn_nodes_p1 field for the link node 41 to 40, the auto_turn_volume field in the link_performance_scenario_...csv will display a value such as 186:4. This indicates that the movement from node 41 to 40 to 186 is now allowed, carrying an auto volume of 4 vehicles.\n\nImportant Note: An empty auto_turn_volume field doesn't necessarily imply a turn restriction. 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Users can now fine-tune the traffic management strategies to simulate different periods and various mode types.\n\nBy incorporating mode-specific and period-specific dynamic lane assignments, we have made our traffic simulations more adaptable and accurate in reflecting real-world traffic situations.","shortMessageHtmlLink":"File Structure Updates and Enhancements in Mode Type and Dynamic Traffic"}},{"before":"e900c0f4800e166dfdcd3a4ae97e4ac1045b4eb8","after":"8c6aa4ba24524426b3fd04b214ee372620dcfb05","ref":"refs/heads/main","pushedAt":"2023-07-03T04:05:16.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"asu-trans-ai-lab","name":"ASU Trans+AI Lab","path":"/asu-trans-ai-lab","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/74271152?s=80&v=4"},"commit":{"message":"Implementation of Dynamic Traffic Management and Mode-Specific Lanes\n\nIn this update, we have introduced some major enhancements to improve the traffic assignment process, particularly related to multi-modal transportation and dynamic lane use.\n\nDynamic Lane Management\nWe have added support for mode-specific and period-specific lane allocations, which allows for more realistic and accurate simulations of traffic flow. This feature acknowledges the fact that the number of lanes dedicated to certain types of traffic can vary based on time of day or specific traffic management strategies.\n\nMobility Equivalent Unit (MEU)\nA more complex MEU relationship has been implemented to provide a finer-grained and more accurate traffic assignment for multi-modal transport scenarios. MEU is a metric that enables us to consider the different impacts of various vehicle types on traffic flow and it's crucial in multi-class traffic assignment problems. The enhancement ensures a better representation of different vehicle types in our model.\n\nDynamic Traffic Management File\nWe have introduced a new configuration file, dynamic_traffic_management.csv, which provides the ability to define dynamic lane use strategies. This file contains parameters that determine the lane usage for different modes and periods, enabling users to configure and test different traffic management scenarios.\n\nThese changes are part of our ongoing efforts to make the traffic assignment process more sophisticated and adaptable to different scenarios.","shortMessageHtmlLink":"Implementation of Dynamic Traffic Management and Mode-Specific Lanes"}},{"before":"065e6fc65b4516d4b91f6814cf72d1ebbddba288","after":"e900c0f4800e166dfdcd3a4ae97e4ac1045b4eb8","ref":"refs/heads/main","pushedAt":"2023-07-01T05:29:17.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"asu-trans-ai-lab","name":"ASU Trans+AI Lab","path":"/asu-trans-ai-lab","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/74271152?s=80&v=4"},"commit":{"message":"update source codes and data set","shortMessageHtmlLink":"update source codes and data set"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAELsIgiQA","startCursor":null,"endCursor":null}},"title":"Activity · asu-trans-ai-lab/DTALite"}