Sep 1, 2020 · Apply the Random Forest model to predict the customer demand in bike-sharing system. Propose a hub-first-route-second bike repositioning strategy based on the predicted demand. Develop a solution method incorporating the heuristic algorithm (ABC) and the …

Oct 1, 2020 · This section describes the static bike-sharing re-positioning problem in detail and presents a mixed-integer linear programming (MILP) model for it.

In this paper, by taking the outsourcing transportation mode into account, a bilevel programming model is proposed to formulate the static bike repositioning (SBR) problem, which can be used to determine the number of bikes loaded and unloaded at each station and the optimal truck routes in bike sharing systems (BSS).

Aug 1, 2013 · This paper defines and formulates a new rich inventory routing model that is motivated by the need to regulate the newly emerging bike-sharing systems. Proper regulation of these systems by repositioning bicycles among the stations is an important factor in their success.

Sep 1, 2020 · This paper addresses a static bike repositioning problem by embedding a short-term demand forecasting process, the Random Forest (RF) model, to account for the demand dynamics in the daytime.

This paper addresses a static bike repositioning problem by embedding a short-term demand forecasting process, the Random Forest (RF) model, to account for the demand dynamics in the daytime. To tackle the heterogeneous repositioning fleets, a novel repositioning operation strategy constructed on the hub-and-spoke network framework is proposed.

Feb 12, 2019 · In this paper, by taking the outsourcing transportation mode into account, a bilevel programming model is proposed to formulate the static bike repositioning (SBR) problem, which can be used to determine the number of bikes loaded and unloaded at each stationandtheoptimaltruckroutesinbikesharingsystems(BSS).Theupper-levelBSSprovidersdeterminethe...

Sep 1, 2020 · This work proposes a potentially self-sustaining and environment friendly system of dynamic repositioning, that moves idle bikes during the day with the help of bike trailers, that is highly competitive to the existing fuel burning mode of repositioned while being green.

A Static Bike Repositioning Model in a Hub-and-Spoke. 2. Network Framework. 3. 4 . Abstract . 5 This paper addresses a static bike repositioning problem by embedding a short-term 6 demand forecasting process, the Random Forest (RF) model, to account for the demand 7 dynamics in the daytime. To tackle the heterogeneous repositioning fleets, a novel

Bike-sharing systems allow people to rent a bicycle at one of many automatic rental stations scattered in the city, use them for a short journey and return them at any other station in the city. Recently many cities around the world deployed such systems in order to encourage their citizens