Abstract:
Trams in mountainous areas are vulnerable to adverse weather conditions, leading to deviations from the initial timetable. To improve the operational efficiency of trams in this situation, a tram rescheduling method is proposed.Method: Considering the impact of intersection signal priority mode on tram operation and the disturbance characteristics caused by adverse weather in mountainous areas, a mixedinteger linear programming model for tram rescheduling is constructed, the solution algorithm for the model is described. Taking Lijiang Tram Line 1 as example, 15 experimental groups are set up based on different adverse weather scenarios to validate the constructed model.Result & Conclusion: The lower the temporary speed restriction, the higher the total deviation time of arrivals and departures at each station; when the temporary speed restriction is consistent, the total deviation time increases as speed restriction duration increases; when temporary speed restriction value is consistent with duration time, the increased amplitude under relative priority mode is greater than that under absolute priority mode; when speed restriction duration is consistent, the total deviation time increases as temporary speed restriction value decreases; under different levels of adverse weather conditions, the absolute priority mode can reduce total deviation time by 15% to 87%. However, as the severity of adverse weather increases (with lower temporary speed restriction value), the advantage of absolute priority mode shows a decreasing trend.