Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal

Martínez, Luis; Viegas, José M.

doi:10.1016/j.ijtst.2017.05.005

Cited by 240 publications

(120 citation statements)

References 32 publications

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“…The simulation encompasses the relocation strategy during nighttime, and it is shown that total vehicle mileage decreases up to 20% after the introduction of a new AMoD service. Martinez and Viegas (2017) tried to explore the potential outcomes of so-called radical change in urban mobility configuration of Lisbon city after introducing Shared Mobility services based upon a spatially aggregated agentbased simulation. In the simulated scenarios, all private mobility and conventional buses are replaced by Autonomous Shared Taxis and Taxi-Buses.…”

Section: Prior Researchmentioning

confidence: 99%

Shared autonomous vehicle simulation and service design

Vosooghi

Puchinger

Janković

et al. 2019

Transportation Research Part C: Emerging Technologies

104

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Today, driverless cars, as a new technology that allows a more accessible, dynamic and intelligent form of Shared Mobility, are expected to revolutionize urban transportation. One of the conceivable mobility services based on driverless cars is shared autonomous vehicles (SAVs). This service could merge cabs, carsharing, and ridesharing systems into a singular transportation mode. However, the success and competitiveness of future SAV services depend on their operational models, which are linked intrinsically to the service configuration and fleet specification. In addition, any change in operational models will result in a different demand. Using a comprehensive framework of SAV simulation in a multi-modal dynamic demand system with integrated SAV user taste variation, this study evaluates the performance of various SAV fleets and vehicle capacities serving travelers across the Rouen Normandie metropolitan area in France. Also, the impact of ridesharing and rebalancing strategies on service performance is investigated.Research results suggest that the performance of SAV is strongly correlated with the fleet size and the strategy of individual or shared rides. Further analysis indicates that for the pricing scheme proposed in this study (i.e., 20% lower for ridesharing scenario), the standard 4-seats car with shared ride remains the best option among all scenarios. The results also underline that enabling vehicle-rebalancing strategies may have an important effect on both user and service-related metrics. The estimated SAV average and maximum driven distance prove the importance of vehicle range and charging station deployment.

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Section: Prior Researchmentioning

confidence: 99%

Shared autonomous vehicle simulation and service design

Vosooghi

Puchinger

Janković

et al. 2019

Transportation Research Part C: Emerging Technologies

104

View full text Add to dashboard Cite

show abstract

“…Mobility-as-a-Service (MaaS) (Djavadian and Chow, 2017;Hensher, 2017; Catapult Transport Systems, 2016) is an emerging paradigm where multiple mobility operators and technology providers work together to serve a trip, even if it may involve multiple modes made on-demand. Martinez and Viegas (2017) studied the impact of using a shared self-driving system using an agent-based method. The simulation is done in the presence of a metro system.…”

Section: Literature Reviewmentioning

confidence: 99%

A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers

Rasulkhani

Chow

et al. 2019

Transportation Research Part E: Logistics and Transportation Re

109

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We propose a ridesharing strategy with integrated transit in which a private on-demand mobility service operator may drop off a passenger directly door-to-door, commit to dropping them at a transit station or picking up from a transit station, or to both pickup and drop off at two different stations with different vehicles. We study the effectiveness of online solution algorithms for this proposed strategy. Queueingtheoretic vehicle dispatch and idle vehicle relocation algorithms are customized for the problem. Several experiments are conducted first with a synthetic instance to design and test the effectiveness of this integrated solution method, the influence of different model parameters, and measure the benefit of such cooperation. Results suggest that rideshare vehicle travel time can drop by 40-60% consistently while passenger journey times can be reduced by 50-60% when demand is high. A case study of Long Island commuters to New York City (NYC) suggests having the proposed operating strategy can substantially cut user journey times and operating costs by up to 54% and 60% each for a range of 10-30 taxis initiated per zone. This result shows that there are settings where such service is highly warranted.

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“…In the mentioned study, SAV utility has been defined based on conventional taxi utility without considering the impact of waiting time. Martinez and Viegas (2017) have applied another agent-based model in order to deal with the discussed issue. In their study, the sociodemographic attributes (i.e.…”

Section: Related Workmentioning

confidence: 99%

Robo-Taxi service fleet sizing: assessing the impact of user trust and willingness-to-use

et al. 2019

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The first commercial fleets of Robo-Taxis will be on the road soon. Today important efforts are made to anticipate future Robo-Taxi services. Fleet size is one of the key parameters considered in the planning phase of service design and configuration. Based on multi-agent approaches, the fleet size can be explored using dynamic demand response simulations. Time and cost are the most common variables considered in such simulation approaches. However, personal taste variation can affect the demand and consequently the required fleet size. In this paper, we explore the impact of user trust and willingness-to-use on the Robo-Taxi fleet size. This research is based upon simulating the transportation system of the Rouen-Normandie metropolitan area in France using MATSim, a multi-agent activity-based simulator. A local survey is made in order to explore the variation of user trust and their willingness-to-use future Robo-Taxis according to the sociodemographic attributes. Integrating survey data in the model shows the significant importance of traveler trust and willingness-to-use varying the Robo-Taxi use and the required fleet size.

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Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal

Cited by 240 publications

References 32 publications

Shared autonomous vehicle simulation and service design

Shared autonomous vehicle simulation and service design

A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers

Robo-Taxi service fleet sizing: assessing the impact of user trust and willingness-to-use

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