A Dynamic Bus Trajectory Optimization Method Considering Comfort and Energy Saving and Emission Reduction

Abstract

The invention relates to a bus dynamic trajectory optimization method considering comfort, energy saving and emission reduction. The method comprises steps that S1, the feature information of a to-be-optimized bus is obtained; S2, the information about intersections through which the to-be-optimized bus passes by is optimized; S3, the vehicle speed guiding strategy is determined based on the bus feature information and the intersection information; S4, after the end of a bus stop, a current passenger loading factor of the bus is determined, whether the current passenger loading rate is greaterthan the set threshold is determined, if yes, a S5 is performed, otherwise, a S6 is performed; S5, a trajectory optimization model is established through utilizing the trajectory optimization strategy considering the passenger comfort in combination with the determined vehicle speed guiding strategy, and the model is solved to obtain the optimization trajectory of each sub interval; and S6, the trajectory optimization model is established through utilizing the optimal trajectory optimization strategy of fuel consumption and the determined vehicle speed guiding strategy, and the model is solved to obtain the optimized trajectory of each sub interval. Compared with the prior art, the method has advantages of considering the passenger comfort and vehicle fuel consumption.

Description

Technical field [0001] The present invention relates to the technical field of traffic planning, and in particular to a method for optimizing the dynamic trajectory of public transportation in consideration of comfort and energy saving and emission reduction. Background technique [0002] With the rapid development of my country's economy, national income and living standards continue to increase, and the number of urban motor vehicles and the number of residents traveling are growing rapidly. In order to cope with problems that affect urban development, including traffic congestion, environmental pollution, and energy consumption, all localities actively implement the strategy of prioritizing the development of public transportation and vigorously develop the urban public transportation system. [0003] At present, the bus driving process is mostly based on the driver's experience. Drivers with different experience and technical level have large differences, and there is a large r...

AI Technical Summary

Problems solved by technology

Although this device can monitor the acceleration changes during the operation of the bus, it can only passively feed back the uncomfortable information to the driver, and finally rely on the driver's experience judgment to improve the operating comfort of the bus, and cannot provide accurate and specific information for the driver. , Feasible speed change strategy

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