Agent-based simulation of a shared, autonomous and electric on-demand mobility solution

Jager, Benedikt; Agua, Fares Maximilian Mrad; Lienkamp, Markus

doi:10.1109/itsc.2017.8317947

Cited by 27 publications

(27 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ride-sharing is another factor that results in different performances. With [17], without [26], [42], [49] and dynamic [14], [41] ride-sharing have been explored in previous researches. With ride-sharing, the passenger numbers that one SAV may serve are different.…”

Section: Discussionmentioning

confidence: 99%

“…Different scenarios with various vehicle ranges were introduced in [38], [40], [41] to explore the impact of vehicle range on SAEV system performance. Jäger et al investigated the effects of battery capacities from 20 to 40 kWh [49]. Loeb et al examined the simulation outputs with different vehicle range varying from 100 km to 325 km, increased by 25 km [2].…”

Section: ) the Key Variables Considered In The Simulationmentioning

confidence: 99%

“…Usually, researchers fixed the researcher area. However, Fagnant and Kockelman [9] examined the results of the different service area (greater or smaller), Jäger et al [49] explored the different outcomes of the exclusive service area, mobility hubs, whole city, Shen et al [47] tested the simulation outputs of three area sizes.…”

Section: ) the Key Variables Considered In The Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

Jing

Zhan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Autonomous vehicles (AVs) may have a transformative influence on transportation systems. AV use is expected to reduce crash, transport costs, and land use. However, the net effects of the autonomous vehicle are unknown because there are no fully-autonomous vehicles in reality. The simulation systems are indispensable to be built up not only for cost but also for obtaining massive data. An agent-based simulation is capable of simulating the entities in a complex system, such as the AV system. Considering the potential of agent-based models to complement existing models and the difficulty to understand, to duplicate and to compare different agent-based models, this paper review existing agent-based modeling of autonomous vehicles with the help of ODD protocol, which has been applied in the review of agent-based land-use change models and agricultural policy evaluation. The significant variables that researchers have taken into consideration in sensitivity analysis and in the different scenarios are explored in the paper. Fleet size is the primary variable researchers considered, and we also discussed the probable causes of different AV replacement rates. We have assessed the quality of reviewed articles to gain more acceptance from the agent-based modeling community. Most of the reviewed papers follow the ODD protocol of agent decision making. However, in order to improve the level of modeling transparency, the executable and related data shall be available, at least the data source and the programming language/simulation platform should be provided. Several recommendations for further research are also presented. INDEX TERMS Agent-based model, autonomous vehicle, systematic literature review, ODD+D, multi-agent systems.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: ) the Key Variables Considered In The Simulationmentioning

confidence: 99%

Section: ) the Key Variables Considered In The Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

Jing

Zhan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Based on the discussion in the previous sections, it seems clear that SAVs, compared to personal owned human-driven vehicles, have significant advantages for individuals as well as for the transportation system in terms of mobility, safety, and energy savings (especially with SAEVs), e.g., [46]- [48], [76], [83], [86]. A combination of SAVs with other transportation modes such as public transportation, however, might impose different conclusions [9], [10], [12], [18].…”

Section: B Operating In a Multi-modal Environmentmentioning

confidence: 99%

Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems

Zhao

Malikopoulos

2022

IEEE Intell. Transport. Syst. Mag.

View full text Add to dashboard Cite

Shared mobility can provide access to transportation on a custom basis without vehicle ownership. The advent of connected and automated vehicle technologies can further enhance the potential benefits of shared mobility systems. Although the implications of a system with shared autonomous vehicles have been investigated, the research reported in the literature has exhibited contradictory outcomes. In this paper, we present a summary of the research efforts in shared autonomous vehicle systems that have been reported in the literature to date and discuss potential future research directions.

show abstract

“…e real potential of SAVs is that they make the implementation of an entirely new public transportation system possible. at is, SAVs might have the power to fundamentally transform transportation mobility and revolutionize the transport system given the added degrees of freedom of operating shared taxi systems [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Performance of Different On-Demand Transit Services Provided by a Fleet of Shared Automated Vehicles: An Agent-Based Model

Wang

Correia

Lin

2019

Journal of Advanced Transportation

View full text Add to dashboard Cite

Automated vehicles used as public transport show a great promise of revolutionizing current transportation systems. Still, there are many questions as to how these systems should be organized and operated in cities to bring the best out of future services. In this study, an agent-based model (ABM) is developed to simulate the on-demand operations of shared automated vehicles (SAVs) in a parallel transit service (PTS) and a tailored time-varying transit service (TVTS). The proposed TVTS system can switch service schemes between a door-to-door service (DDS) and a station-to-station service (SSS) according to what is best for the service providers and the travelers. In addition, the proposed PTS system that allows DDS and SSS to operate simultaneously is simulated. To test the conceptual design of the proposed SAV system, simulation experiments are performed in a hypothetical urban area to show the potential of different SAV schemes. Simulation results suggest that SAV systems together with dynamic ridesharing can significantly reduce average waiting time, the vehicle kilometres travelled and empty SAV trips. Moreover, the proposed optimal vehicle assignment algorithm can significantly reduce the empty vehicle kilometres travelled (VKT) for the pickups for all tested SAV systems up to about 40% and improve the system capacity for transporting the passengers. Comparing the TVTS system, which has inconvenient access in peak hours, with the PTS systems, which always makes available door-to-door transport, we conclude that the latter could achieve a similar system performance as the former in terms of average waiting time, service time and system capacity.

show abstract

Agent-based simulation of a shared, autonomous and electric on-demand mobility solution

Cited by 27 publications

References 10 publications

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems

Exploring the Performance of Different On-Demand Transit Services Provided by a Fleet of Shared Automated Vehicles: An Agent-Based Model

Contact Info

Product

Resources

About