At present, the transportation system is mainly based on manual scheduling, and the average person needs to deal with thousands of scheduling tasks every day. The scheduling decision-making is difficult, the error rate is high, and it is easy to lack comprehensive consideration of environmental protection. At the same time, in the driving scene, there is a lack of diagnosis of safety risks for drivers on the road, and it is too late to find safety problems. By integrating existing users' pain points and large-model technical capabilities, an intelligent transportation scheduling system is built to solve scheduling tasks automatically. Multimodal transportation is adopted to reduce carbon emissions by integrating public transport, rail transport, air transport and water transport instead of the traditional single transportation mode. Systematic risk warning and treatment strategies are provided through the combination of hardware and software, so as to reduce the abnormal accident rate and ensure the safety of drivers.The intelligent logistics transportation scheduling system carries the company's logistics needs in a digital form, and obtains real-time cargo volume information by opening up the order channel to trade cargo volume and the information flow of warehouse production cargo volume; The position and status of transportation resources are obtained through the binding relationship between vehicle GPS positioning and tasks. Based on the experience of historical manual dispatching precipitation, the stable line is effectively integrated with public, iron, air and water transportation resources. Users only need 2 steps to complete resource matching and task distribution. In addition to meeting the scheduling tasks of stable lines, it also creates a custom scheduling mode for special scenarios, supporting users to manually send cars to meet the demands of personalized scheduling; The intelligent dispatching system automatically matches the cargo volume and resources to deliver the transportation task through comprehensive consideration of multiple factors such as line, aging, cargo volume, low-carbon, weather, safety, and transportation means, which improves the dispatching efficiency and ensures rationality and low-carbon. In the driving scenario, the system automatically identifies anomalies and visually presents the driving conditions of vehicles and drivers through digital twins. Through the system, the dispatcher can visually view and trace abnormal events in real time, and can timely intervene in abnormal events across space to ensure the driving safety of drivers. In combination with the overall structure of the map visualization system, the left-center right layout can be used to view the national cargo volume and resource distribution before scheduling, view the result of line matching resources during scheduling, and view the distribution of abnormal vehicles in transit after scheduling, so as to locate the specific driver's driving risk. Transport support for the whole chain from cargo forecasting - dispatching and dispatching - driving anomaly diagnosis.The intelligent logistics transportation scheduling system combines deep blue maps with data from both sides on the exterior, ensuring users' immersive browsing and operating system. Users can intuitively see the status and data information of vehicles, cargo volume, transportation resource under different map levels. In different business scenarios, the use of three-dimensional scene models and delicate animation presentations ensures that users can quickly focus on problems, make decisive decisions, and better help users solve problems such as transportation efficiency and transportation safety.In terms of safety, the intelligent logistics transportation dispatching system pays unprecedented attention to the driving safety of drivers compared to traditional transportation systems. Behind every driver is a family. Ensuring the driving safety of drivers is protecting thousands of families. At present, the system abnormality detection function module has been developed and launched. Under the prevention and control of system risk warning and manual active intervention, the safety risk has been reduced by 98.5%, and the number of vehicle spontaneous combustion accidents has dropped from 3 in half a year to 0. In terms of ease of use, the system liberates manpower in a fully automated way. In terms of operation, you only need to click the "Start Matching" button to automatically complete the originally complex and time-consuming dispatching tasks, allowing dispatchers to focus more on more important abnormal event handling processes. The page design presents information in a digital twin visualization way, reduces information noise, and improves ease of use.