A method and system for optimizing the running time of a tram throughout the day

Abstract

The invention discloses a tramcar all-day operation time optimization method and a system. Through considering the influences of different signal time periods in different time periods at different intersections, adjusting the departure time of bi-directional tramcars of each shift, a driving speed on a road section, stopping time at a station, the green light time of the tramcar at the intersection along a route and a phase scheme, and simultaneously optimizing the operation time of all-day and bi-directional tramcars and the robustness of a time table, the tramcars can be guaranteed to operate at a fast speed and simultaneously a high on-time arrival rate can be maintained. According to an optimization result, the departure time of the bi-directional tramcars of each shift at the stationis determined and the all-day operation time table of the tramcars is finally acquired. Compared with the prior art, by using the method and the system of the invention, the on-time arrival rate of the tramcars is improved, the competitiveness of a tramcar system is increased, the operation speeds of the tramcars are increased too, and the operation cost of the tramcars is reduced.

Description

technical field [0001] The invention relates to the field of urban intelligent public transportation systems, in particular to a method and system for optimizing the operation time of trams throughout the day. Background technique [0002] Compared with ordinary public transport vehicles, the departure intervals of trams at home and abroad are generally longer. The departure intervals are about 10-15 minutes during morning and evening peak hours, and about 15-30 minutes during off-peak hours. [0003] Most of the existing timetable optimization methods are for traditional public buses, but there are few timetable optimization methods for trams. There is a certain difference between traditional ordinary public transport vehicles and trams, which is specifically reflected in the fact that trams enjoy independent right of way, so the travel time of the road section has strong stability; while traditional ordinary public transport vehicles and social vehicles are mixed. , the t...

AI Technical Summary

Problems solved by technology

[0004] The difference between traditional public buses and trams makes the existing timetable optimization methods insufficiently consider the travel time of road sections, especially the impact of intersections on travel time, so the current existing methods often need to formulate more Strong assumptions, such as assuming that the running time of each bus line is constant, the vehicle speed is constant, the time of entering and leaving the station is constant, and the signal timing cycle of the intersection along the bus line is the same, etc. These assumptions are difficult to meet in real life, so there are rail There is a certain gap between the actual operation of the tram system and the specified timetable

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