PROPOSAL OF A CARSHARING SYSTEM TO IMPROVE URBAN MOBILITY PROPOSAL OF A CARSHARING SYSTEM TO IMPROVE URBAN MOBILITY (original) (raw)

Proposal of a Carsharing System to Improve Urban Mobility

ArXiv, 2017

Carsharing is a model of renting vehicles for short periods of time, where the payment is made according to the time and distance effectively traveled. Carsharing offers a simple, economical and smart alternative to urban mobility, that is already being adopted in the major cities in the world. The proposed methodology consisted in the development of a decision support system that simplifies the process of choosing carsharing services. Adopting the AHP method, the user can indicate their preferences in the choice of vehicles, and the system returns an ordered list of the most suitable available vehicles based on their geographic location. The findings of the project indicate that the use of this system encourage and simplify the use of carsharing services, which will allow to enhance the financial, mobility and environment advantages inherent to their use.

A dynamic carsharing decision support system

This paper proposes a dynamic optimization–simulation model as a decision support system for one-way carsharing organizations. To reduce the vehicle imbalance in one-way systems, a Vehicle Relocation Optimization model is solved successively in a discrete event simulation. Each event is the arrival of a new user. The model is compared to an a priori benchmark model. Autoshare is chosen as a case study. Results show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30 min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size.

Examining the Carsharing System in Terms of Urban Transportation

European Journal of Technic

With the increasing population in the world, individual vehicle ownership is increasing day by day. The increase in individual vehicle ownership causes heavy traffic jams in the city centers. In addition to traffic congestion, noise pollution, harmful gas emission, parking lot problems also increase. Besides, the fact that most of the vehicles use petroleum derivatives, which are a depleted energy source, pose big problems for the economy. In this context, various studies are carried out to reduce the use of individual vehicles and to prevent the mentioned problems. One of these studies is the carsharing system. In this study, the applicability of the vehicle sharing system was investigated by surveys of Erzurum Metropolitan Municipality personnel. The city is divided into certain regions, taking into account the locations of individuals' homes. Later, the carsharing model was created with the mobile application designed for individuals living in the region. Monthly total econom...

A methodology for planning a new urban car sharing system with fully automated personal vehicles

European Transport Research Review, 2013

Purpose The paper concerns a transport system for pedestrian areas, based on a fleet of fully-automated Personal Intelligent Accessible Vehicles. The following services are provided: instant access, open ended reservation and one way trips. All these features provide users with high flexibility, but create a problem of uneven distribution of vehicles among the stations. A fully vehicle based relocation strategy is proposed: when a relocation is required vehicles automatically move among stations. The paper focuses on a methodology that allows to plan the proposed transport system for wide pedestrian areas. The methodology aims to determine the fleet dimension and the relocation strategy parameters which minimize the system cost. The system cost takes into account the level of service and the efficiency. Relocation strategy parameters define when and among which stations relocations should be performed. Methods The problem faced is an optimisation problem where the search space is defined by all the possible fleet dimensions and relocation strategy parameters. As this cost function could be a multipeak function and since the search space is discrete and extremely large, a random search algorithm has been adopted. Because of the characteristics of the problem, a parallel optimization technique was required. Given a fleet dimension and relocation strategy parameters, a microsimulator models the activity of each user, as well as the activity of each vehicle over time with the aim of finding the level of service and the system efficiency.

Innovative strategies for urban car-sharing systems and a simulator to assess their performance

Transportation Planning and Technology, 2015

In this paper, three innovative car-sharing systems for urban areas are proposed, based on fleets of individual intelligent vehicles with three service characteristics: instant access, open-ended reservations and one-way trips. These features provide high flexibility but create an uneven distribution of vehicles among stations. Therefore, relocation of vehicles must be performed. Three different system procedures are proposed: in the first system, relocations are performed by users; in the other two, vehicles relocate automatically, thanks to their automation. In the first two systems, vehicles are accessible only at stations, whereas in the third they are also accessible along roads. In order to provide transport managers with a tool to test systems in different realities, an object-oriented simulator is developed. The simulation provides outputs of system performance, in terms of user waiting times and system efficiency. The proposed systems are simulated for the city of Genoa, in Italy, and a comparative analysis is presented.

A car sharing system for urban areas with fully automated personal vehicles

2011

The paper concerns a transport system for pedestrian areas, based on a fleet of fully-automated Personal Intelligent Accessible Vehicles (PICAVs). Vehicles are available in stations and are shared through the day by different users. The following specific services are provided: instant access, open ended reservation and one way trips. All these features provide users with high flexibility, but create a problem of uneven distribution of vehicles between the stations. Therefore, relocation must be performed. A management strategy based on fully automated vehicles is proposed. To check the performance of the proposed management strategy, an object-oriented simulator has been developed. The simulator gives as an output the transport system performance, in terms of Level Of Service provided to users and of efficiency from the management point of view. The proposed transport system has been simulated for the historical city centre of Genoa, Italy.

A new shared vehicle system for urban areas

Transportation Research Part C-emerging Technologies

The paper concerns the conceptual design of a transport system for pedestrian areas. The proposed transport system is based on a fleet of eco-sustainable Personal Intelligent City Accessible Vehicles (PICAVs). The vehicles are shared through the day by different users and the following specific services will be provided: instant access, open ended reservation and one way trips. Referring to the proposed transport system, a new methodology to optimise the fleet dimension and its distribution among the stations is proposed in this paper. The problem faced is an optimisation problem where the cost function to be minimised takes into account both the transport system cost and the user costs that depend on the waiting times. A random search algorithm has been adopted. Given a fleet dimension and its distribution among the stations, the waiting times of the users are assessed by a microscopic simulation. The simulation model tracks the second-by-second activity of each PICAV user, as well as the second-by-second activity of each vehicle. The overall methodology has been implemented in an object-oriented simulator. The proposed transport system has been planned and simulated for the historical city centre of Genoa, Italy.

A Proposal for Carpooling based on User ’ s Preferences

2019

Abstract— Traffic congestion is a serious problem in many urban areas around the world, which generates endless negative impacts on society and the economy, among which are: air pollution due to carbon dioxide emissions, waste of fuel and increase travel time. In this sense, the Carpooling initiative, which is the dynamic in which a driver shares his car with one or more additional passengers who have a similar destination, emerges as one of the most effective solutions to deal with the problems generated by the vehicular congestion. This paper shows the development of an intelligent system for the use of Carpooling which allows users to have a tool to carry out this practice, which, unlike existing ones, allows access at any time and in any place to the user's data such as their current location, their destination, their tastes and personal preferences. To select the most optimal route, the ideal driver and the companions, the system uses one of the most used models in supervis...

Introduction to the special issue on shared mobility systems

EURO Journal on Transportation and Logistics, 2015

An increased use of shared mobility systems such as bike sharing, ride sharing or car sharing is evident in recent years. These systems gain popularity as an alternative to using private vehicles since they have the advantage of reducing traffic congestion, parking space shortage, and air pollution. Shared mobility systems serve as a good complementary to mass transit systems, for example, as a convenient solution to the first and last miles of a journey. In addition, members of vehicle sharing programs have a lower tendency to own a private car. Designing and operating vehicle sharing systems raises many interesting challenges. These problems range from long-term strategic issues to on-line operational decisions. On the strategic end of the spectrum, there are questions such as the economical, technological, and environmental viability of deploying new car or bike-sharing systems in a city. There are various possible modes of operation of vehicle sharing system: it can be station-based or free-float, round-trip or one-way (A to B). Next, the stations' location and capacity should be determined and at a more tactical level, pricing incentives and reservation policies should be set. Finally, at the operational level, vehicles' and stations' maintenance as well as repositioning/ rebalancing decisions should be taken on a daily basis and sometimes in real time. Various tools may be used to solve the above problems: forecasting using statistical and data mining methods, stochastic modeling, simulation and optimization using exact and heuristic methods. Vehicle sharing systems use modern & Tal Raviv