Autonomous Minibus Service With Semi-on-Demand Routes in Grid Networks

Abstract

This paper investigates the potential of autonomous minibuses which take on-demand directional routes for pick-up and drop-off in a grid network of wider area with low density, followed by fixed routes in areas with greater demand. Mathematical formulation for generalized costs demonstrates its benefits, with indicators proposed to select existing bus routes for conversion with the options of zonal express and parallel routes. Simulations on modeled scenarios and case studies with bus routes in Chicago show reductions in both passenger costs and generalized costs compared with existing fixed-route bus services between suburban areas and the central business district.

Collaborative Optimization of Company Commuter Bus Stop Selection and Route Programming Considering Stochastic Travel Time and Demand

“…They solved the MSP problem using a goal programming approach. Ng and Mahmassani ( 28 ) investigated the potential of autonomous minibuses which take on-demand directional routes for pick-up and drop-off in suburban areas, followed by fixed routes in downtown with greater demand. The key relevant papers delineating the bus types, sub-problems, stochastic model, and solution methods used are compared in Table 1.…”