Introduction The City of Fort Worth's commitment to improving the safety and efficiency of its transportation systems has led to the development of the Vision Zero Safety Action Plan (SAP). As revealed from analyzing crash data and hearing from the community, effective truck traffic management is essential for maintaining transportation infrastructure efficiency and safety. Existing truck traffic and crash patterns are examined and areas for potential improvement are identified. Additionally, it is important to align freight management strategies with broader citywide goals, such as reducing emissions, improving air quality, and supporting economic growth. Integrating these broader objectives will help freight management address current challenges and contribute to the city's long-term sustainability and prosperity. By utilizing a range of data sources and reviewing relevant documents, the City’s existing truck traffic pattern and related policies and programs are assessed. An alternative perspective on managing truck traffic, with an emphasis on harnessing future technologies to enhance the efficiency and effectiveness of the City's transportation infrastructure, are also provided. Utilizing Data Sources: Employ the North Central Texas Council of Governments (NCTCOG) travel demand model and the Replica big mobility data platform to analyze truck demand and travel patterns in relation to land use. Texas Department of Transportation (TxDOT) crash data analysis findings from the State of Safety Report are also considered. Review and Recommendations: Evaluate City ordinances, specifically Chapter 22, Article IV, and assess potential modifications, along with developing strategies to address truck traffic conflicts and educational and enforcement strategies. Develop recommendations on criteria for adding or removing routes from the truck route network and general factors in identifying Designated Truck Routes. Innovative Technology Solutions: Review and develop recommendations on incorporating advanced traffic flow modeling driven by artificial intelligence and real-time data analytics to enhance understanding and management of truck traffic.
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