Enhancing flexible transport services with demand-anticipatory insertion heuristics

Document Type

Journal Article

Publication Date

2018

Subject Area

planning - methods, ridership - demand, ridership - forecasting, operations - performance, infrastructure - fleet management

Keywords

dynamic insertion algorithm, demand forecasts

Abstract

Developments in vehicle automation and the shared economy call for new developments in routing flexible transport services. We propose a new type of insertion algorithm: an online dynamic insertion algorithm with demand forecasts. The performance of this algorithm is tested in a simulation model for a case study network in the Netherlands. When combining the new insertion algorithm with empty vehicle rerouting, 98% of passenger rejections are eliminated and travel and waiting times are reduced by up to 10 and 46% respectively, compared to traditional insertion algorithms. A sensitivity analysis tested performance robustness to variations in operational and demand conditions.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part E Home Page:

http://www.sciencedirect.com/science/journal/13665545

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