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A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles
Time-sensitive parcel deliveries, shipments requested for delivery in a ...
10/22/2020 ∙ by Andre Alho, et al. ∙
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Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective
Technological advancements have brought increasing attention to Automate...
11/10/2020 ∙ by Simon Oh, et al. ∙
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Soft Constraint Logic Programming for Electric Vehicle Travel Optimization
Soft Constraint Logic Programming is a natural and flexible declarative ...
12/10/2012 ∙ by Giacoma Valentina Monreale, et al. ∙
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On the Importance of demand Consolidation in Mobility on Demand
Mobility on Demand (MoD) services, like Uber and Lyft, are revolutionizi...
07/05/2019 ∙ by Andrea Araldo, et al. ∙
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Consumption smoothing in the working-class households of interwar Japan
I analyze Osaka factory worker households in the early 1920s, whether id...
07/16/2018 ∙ by Kota Ogasawara, et al. ∙
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Effects of Electric Vehicle Adoption for State-Wide Intercity Trips on the Emission Saving and Energy Consumption
Electric vehicles (EVs) are considered as sustainable alternatives to co...
12/08/2020 ∙ by Mohammadreza Kavianipour, et al. ∙
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Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound
Connected and automated vehicles (CAVs) are expected to yield significan...
01/31/2019 ∙ by Morteza Taiebat, et al. ∙
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Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
08/23/2019 ∙ by Xianan Huang, et al. ∙
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Shared Mobility-on-Demand using automated vehicles can reduce energy consumption and cost for future mobility. However, its full potential in energy saving has not been fully explored. An algorithm to minimize fleet fuel consumption while satisfying customers travel time constraints is developed in this paper. Numerical simulations with realistic travel demand and route choice are performed, showing that if fuel consumption is not considered, the MOD service can increase fleet fuel consumption due to increased empty vehicle mileage. With fuel consumption as part of the cost function, we can reduce total fuel consumption by 12 percent while maintaining a high level of mobility service.
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