Integrating Passenger Incentives to Optimize Routing for Demand-Responsive Customized Bus Systems

The customized bus (CB) is an alternative public transportation mode that extends the flexibility and coverage of fixed-route transit networks. It allows passengers to make reservations for trips arranges vehicles serve shared rides. However, operation performance limited vehicle routing, number stops, length detour times. Extra detours stops would not be significantly avoided if deploying high-capacity vehicles. demand control aspect a possible way out. Releasing incentives can attract them aggregated locations reduce How determine appropriate incentive scheme critical problem. This paper presents approach integrating disaggregated trip choice model with routing schemes. First, discrete established bridge passengers' probabilities influence monetary incentives, walking time, travel time. A based on pickups deliveries problem then adopted generate routes schedules influenced passengers. result shows proposed total running kilometers, shorten onboard increase profits. analysis also suggests sensitivity towards decisive result.