Shared Mobility

Privacy-Preserving MaaS Fleet Management

Belletti, Francois
Alexandre Bayen
2017

On-demand traffic fleet optimization requires operating Mobility as a Service (MaaS) companies such as Uber, Lyft to locally match the offer of available vehicles with their expected number of requests referred to as demand (as well as to take into account other constraints such as driver’s schedules and preferences). In the present article, we show that this problem can be encoded into a Constrained Integer Quadratic Program (CIQP) with block independent constraints that can then be relaxed in the form of a convex optimization program. We leverage this particular structure to yield a...

Spatio-temporal Road Charge: A Potential Remedy for Increasing Local Streets Congestion

Alexandre Bayen
Forscher, Teddy
2017

US population. Additionally, the emergence of large ridesourcing or transportation network companies (TNCs) totaling up to tens of thousands of registered drivers in single cities (all using the same routing app), there is further consolidation. Across the US, this has led to new or increased congestion patterns that are progressively asphyxiating local streets due to so-called “cut-through traffic.” As neighborhoods have started to realize this, private citizens have begun to resist, by trying to sabotage or trick the apps, or shaming the through traffic through opinion articles, and news...

Resiliency of Mobility-as-a-Service Systems to Denial-of-Service Attacks

Thai, Jérôme
Yuan, Chenyang
Alexandre Bayen
2018

Mobility-as-a-Service (MaaS) systems, such as ride-sharing services, have expanded very quickly over the past years. However, the popularity of MaaS systems make them increasingly vulnerable to denial-of-service (DOS) attacks, in which attackers attempt to disrupt the system to make it unavailable to the customers. Expanding on an established queuing-theoretical model for MaaS systems, attacks are modeled as a malicious control of a fraction of vehicles in the network. We then formulate a stochastic control problem that maximizes the passenger loss in the network in steady state, and solve...

To Pool or Not to Pool? Understanding the Time and Price Tradeoffs of OnDemand Ride Users – Opportunities, Challenges, and Social Equity Considerations for Policies to Promote Shared-Ride Services

Susan Shaheen
Lazarus, Jessica
Caicedo, Juan
Alexandre Bayen
2021

On-demand mobility services including transportation network companies (also known as ridesourcing and ridehailing) like Lyft and Uber are changing the way that people travel by providing dynamic mobility that can supplement public transit and personal-vehicle use. However, TNC services have been found to contribute to increasing vehicle mileage, traffic congestion, and greenhouse gas emissions. Pooling rides ⎯ sharing a vehicle by multiple passengers to complete journeys of similar origin and destination ⎯ can increase the average vehicle occupancy of TNC trips and thus mitigate some of...

To Pool or Not to Pool? Understanding Opportunities, Challenges, and Equity Considerations to Expanding the Market for Pooling

Lazarus, Jessica
Caicedo, Juan
Alexandre Bayen
Susan Shaheen
2021

On-demand mobility services such as bikesharing, scooter sharing, and transportation network companies (TNCs, also known as ridesourcing and ridehailing) are changing the way that people travel by providing dynamic, on-demand mobility that can supplement public transit and personal-vehicle use. Adoption of on-demand mobility has soared across the United States and abroad, driven by the flexibility and affordability that these services offer, particularly in urban areas where population density and land use patterns facilitate a reliable balance of supply and demand. The growth of app-based...

Guest Editorial Special Issue on Modeling Dynamic Transportation Networks in the Age of Connectivity, Autonomy and Data

Savla, Ketan
Du, Lili
Samaranayake, Samitha
Ban, Xuegang Jeff
Alexandre Bayen
2022

The recent emergence of new technologies and systems such as connected and automated vehicles (CAVs), novel incentive and routing platforms, and shared mobility services is making a significant impact on traffic flow in road networks. The rapid development of these innovations, powered by new capabilities in data collection, communication, and vehicle autonomy raises both great opportunities and new challenges for managing and controlling the transportation network efficiently. It is thus imperative to integrate the emerging systems into a dynamic transportation network analysis, and to...

The Impact of the Sharing Economy on Latent Individual Modal Preference

Schade, Maitagorri Helene
Elizabeth Deakin
Cervero, Robert
Joan Walker
2017

Mobility patterns in our cities are changing with the onset of shared mobility services. However, publicly available information on the use of shared mobility services is lagging behind. This study set out to fill this data gap by gathering web-based travel diary survey from carsharing and Transportation Network Company (TNC) users in the San Francisco Bay Area. Respondents were screened to be regular users of shared mobility services. The shared use reported in our sample was primarily car sharing and TNC, with bike sharing not being reported enough to be studied here. Our analysis drew...

Bridging Troubled Water: Evacuations and the Sharing Economy

Wong, Stephen
Joan Walker
Susan Shaheen
2018

Since Hurricane Katrina, there has been an increasing focus on disaster relief efforts in the United States. In this paper, the authors examine the progression of transportation management under emergency conditions and opportunities for addressing disasters by leveraging the sharing economy. The sharing economy mobilizes the unused capacity and resources of individuals through mobile and Internet platforms. Notable examples include mobility and the housing sectors. The authors argue here that there is an opportunity to improve disaster preparedness, response, and recovery by...

Charging Infrastructure Demands of Shared-Use Autonomous Electric Vehicles in Urban Areas

Zhang, Hongcai
Sheppard, Colin J. R.
Lipman, Timothy E.
Zeng, Teng
Scott Moura
2020

Ride-hailing is a clear initial market for autonomous electric vehicles (AEVs) because it features high vehicle utilization levels and strong incentive to cut down labor costs. An extensive and reliable network of recharging infrastructure is the prerequisite to launch a lucrative AEV ride-hailing fleet. Hence, it is necessary to estimate the charging infrastructure demands for an AEV fleet in advance. This study proposes a charging system planning framework for a shared-use AEV fleet providing ride-hailing services in urban area. We first adopt an agent-based simulation model, called BEAM...

Joint Mobility and Vehicle-to-Grid Coordination in Rebalancing Shared Mobility-on-Demand Systems

Zeng, Teng
Scott Moura
Zhou, Zhe
2023

Vehicle-to-Grid (V2G) technology enables plug-in electric vehicles (PEVs) to act as controllable loads and distributed energy resources for power systems. However, these resources, under the context of Mobility-on-Demand (MoD) market, have yet to be fully exploited for the grid services. This paper investigates how providing energy service from the shared PEVs affects both the power and transportation systems. We consider a shared MoD platform where PEVs can choose to provide either the V2G service or the traveling service when they are rebalanced to future high demand areas. In this...