Design method and device for a driving plan generation model

Abstract

The invention discloses a design method and device for a driving plan generation model, comprising the following steps: step 1, obtaining the historical passenger flow law, step 2, generating a departure schedule, and step 3, generating a driving plan; through actual passenger flow prediction, combined with historical The big data of passenger flow law, with the goal of minimizing the cost of bus companies and passengers waiting for the bus, can determine the optimal departure interval, combined with the road standard forecast to generate a timetable, and can control the number of shifts by adjusting the target weight coefficient, improving the Availability of timetables. Finally, using the scheduling algorithm (0-1 planning solution model), reasonable road signs can be quickly given, and the working hours of drivers can be controlled by adding constraints to ensure a reasonable length of rest, which greatly improves the feasibility of road signs.

Description

technical field [0001] The invention relates to the field of intelligent transportation research, especially the field of intelligent bus scheduling, and in particular to a design method and device for a driving plan generation model. Background technique [0002] With the rapid development of our society, people's living standards are improving day by day, and the scale of urban areas is also expanding, and public transportation is also vigorously developed. There are many forms of urban transportation, among which conventional buses are the most common means of transportation in the public transportation systems of major cities. On the one hand, at present, most urban bus departure timetables are generated manually based on manual experience, resulting in long waiting times for the public to travel, obvious phenomena of "stringing cars" and "big intervals", and serious bus congestion during peak hours , the phenomenon of empty buses during flat peak hours is common; theref...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of our society, people's living standards are improving day by day, and the scale of urban areas is also expanding, and public transportation is also vigorously developed. There are many forms of urban transportation, among which conventional buses are the most common means of transportation in the public transportation systems of major cities. On the one hand, at present, most urban bus departure timetables are generated manually based on manual experience, resulting in long waiting times for the public to travel, obvious phenomena of "stringing cars" and "big intervals", and serious bus congestion during peak hours , the phenomenon of empty buses during flat peak hours is common; therefore, it is particularly important to generate a departure schedule that fits the rules of passenger flow; on the other hand, bus companies artificially formulate passenger and vehicle allocation plans for the schedule, which often leads to overloading of some drivers , Some drivers are relatively idle, unable to take into account the driver's meal and rest time, so the generation of a scientific and reasonable driving plan is more important

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