Modeling of placement, charging and rebalancing-ScienceDaily

Are e-scooters just the first sign of a shared mobility revolution? If so, researchers at the University of Arizona will ensure that the new transport system has a functional model comparable to other modes of transport. In 2018, about 100 US cities have already launched a shared e-scooter program, accounting for 38.5 million trips. However, a model for managing e-scooter sharing has only recently been developed. A project funded by the National Institute for Transportation and Communitys (NITC) and led by Dr. Jianqiang Cheng, the research team develops a data-driven decision-making model for the design and operation of shared mobility systems in Tucson, Arizona. Has begun. ..

“The decision-making process of an e-scooter company is complicated. One of the first questions is the location of the scooter. Where does the transportation network need to place the e-scooter to meet the demand? Second The question is how to do it. The introduction of different charging methods makes it more complicated, some scooters are collected by paid contractors and others are charged by the customer through incentives, “Chen said. Says.

As researchers see, there are three main benefits of shared mobility.

  1. This is an affordable first / last mile option for those who cannot afford to own a car.
  2. It is environmentally friendly and uses less resources more efficiently.
  3. It provides a new solution to the problem of traffic congestion.

The models they create can provide decision makers with a robust solution that enables low cost and high quality of service.

What does the model do?

Cheng, along with Dr. Xiaofeng Li, Dr. Yao-Jan Wu, and PhD student Abolhassan Mohammadi Fathabad, has two steps to plan and operate a large shared mobility network in the presence of demand uncertainty. I created a probabilistic programming model for. This model can use random probability patterns to answer some of the questions that arise at the enterprise and policymaker level.

  • How many e-scooters should be placed in the network and where should they be placed in the face of uncertain demand?
  • How many charging facilities do you need, where and at what capacity?
  • How do you need to evaluate and adjust your network daily to keep up with demand while minimizing costs?

Developed using Tucson city data, this model enables optimal placement, charging, and rebalancing of unused (idle) scooters to meet demand in the most efficient way possible. To do. Successful operation of a shared mobility system requires both careful planning and strategy to increase customer satisfaction while minimizing company operating costs (that is, using an e-scooter when needed). I can do it). From a long-term planning perspective, it is necessary to consider seasonal e-scooter demand patterns and plan long-term economic benefits accordingly. The final report provides a detailed walkthrough of the computational model.

Future research potential

This model provides e-scooter management companies with off-the-shelf decision-making systems to effectively design and operate shared e-scooter systems by predicting scooter rental, relocation, idle time, and charging time. Offering system reliability and cost effectiveness.

In the future, this research may be expanded in several directions. First, to increase the robustness of uncertainty modeling, researchers can develop a distributed and robust optimization framework (a modeling framework for decision making under uncertainty). Another possible direction is to develop a new approach to solve the e-scooter planning problem when more variables are introduced that require the model to be able to solve more complex problems.

Story source:

material Provided by Portland State University.. Note: Content can be edited in style and length. Modeling of placement, charging and rebalancing-ScienceDaily

Back to top button