Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

Yiming Bie · Ruru Tang · Linhong Wang

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Transportation Planning and Optimization Traffic control and management Transportation and Mobility Innovations

Abstract

To mitigate the problems caused by bus route overlap in the transit network, this paper proposes a new scheduling method with both large and small vehicle types based on passenger OD (Origin-Destination) data. The minimum of total cost of passenger travel time and bus company operation is taken as the optimization objective, departure intervals and vehicle types are taken as the optimization variables. The impact of route overlap on passenger travel time is analyzed. A heuristic algorithm is developed to solve the optimization model to produce the departure time and vehicle type for each bus trip. Finally, three real bus routes in Harbin city are taken as an example to validate the proposed model using peak-hour data. Compared with the model without considering route overlap, the proposed model can reduce total passenger travel time and cost by 5.2% and 8.8% respectively.

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References

2001Creating bus timetables with maximal synchronization 2010Public-transport vehicle scheduling with multi vehicle type 2014Public transport vehicle scheduling featuring multiple vehicle types 2015Analysis of real-time control strategies in a corridor with multiple bus services 2019Robust bus bridging service design under rail transit system disruptions 2016Bus bunching along a corridor served by two lines 2015Timetable optimization for single bus line based on hybrid vehicle size model 2015Multiperiod Bus Timetabling

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2020Timetabling with flexible frequencies to synchronise groups of bus lines at common stops 2020Mixed Scheduling Strategy for High Frequency Bus Routes With Common Stops 2023Bus timetable optimization model in response to the diverse and uncertain requirements of passengers for travel comfort 2023Optimizing Multi-Vehicle Demand-Responsive Bus Dispatching: A Real-Time Reservation-Based Approach

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