Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems


  • Supriyo Ghosh Singapore Management University
  • Pradeep Varakantham Singapore Management University
  • Yossiri Adulyasak Singapore-MIT Alliance for Research and Technology (SMART), Massachusetts Institute of Technology
  • Patrick Jaillet Massachusetts Institute of Technology




Vehicle Sharing System, Dynamic Redeployment, Lagrangian Dual Decomposition, Abstraction


Extensive usage of private vehicles has led to increased traffic congestion, carbon emissions, and usage of non-renewable resources. These concerns have led to the wide adoption of vehicle sharing (ex: bike sharing, car sharing) systems in many cities of the world. In vehicle-sharing systems, base stations (ex: docking stations for bikes) are strategically placed throughout a city and each of the base stations contain a pre-determined number of vehicles at the beginning of each day. Due to the stochastic and individualistic movement of customers,there is typically either congestion (more than required)or starvation (fewer than required) of vehicles at certain base stations. As demonstrated in our experimental results, this happens often and can cause a significant loss in demand. We propose to dynamically redeploy idle vehicles using carriers so as to minimize lost de-mand or alternatively maximize revenue for the vehicle sharing company. To that end, we contribute an optimization formulation to jointly address the redeploy-ment (of vehicles) and routing (of carriers) problemsand provide two approaches that rely on decomposability and abstraction of problem domains to reduce the computation time significantly. Finally, we demonstrate the utility of our approaches on two real world data sets of bike-sharing companies.




How to Cite

Ghosh, S., Varakantham, P., Adulyasak, Y., & Jaillet, P. (2015). Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. Proceedings of the International Conference on Automated Planning and Scheduling, 25(1), 79-87. https://doi.org/10.1609/icaps.v25i1.13713