Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multi-agent System Applications: On-demand Electric Vehicles Dial-a-Ride Operation System

Multi-agent System Applications: On-demand Electric Vehicles Dial-a-Ride Operation System

Hsueh, Chi-Shun
Wang, Bo-Yuan
Chen, Yee Ming

Paperback

General Computers

ISBN10: 1922227501
ISBN13: 9781922227508
Publisher: Lightning Source Inc
Published: Jun 22 2016
Pages: 102
Weight: 0.39
Height: 0.21 Width: 6.69 Depth: 9.61
Language: English

Transportation is one of the industrial sectors most impacted by global climate change. Electric vehicles are energy-efficient and often presented as a zero-emission transport mode to achieve longer-term de-carbonization visions in the transport sector. Governments are recognizing the highest priority of development of public transit policies for sustainability. Taxis are visible and thus electric vehicle use in taxi service can bring attention in urban life to a commitment towards sustainability in the public's opin-ion. For this reason, this lecture note proposed a multi-agent system (MAS) approach incorporating electric vehicle dial-a-ride (DAR) operation and the appropriate car-pool and car-sharing schemes design for taxi service. The dial-a-ride operation problem consists of designing vehicle routes and schedules for users who specify pick-up and drop-off requests between origins and destinations. We have made some MAS simulation studies, which aims to minimize the total vehicle-distance travelled subject to meeting all advanced customers' requests, and constraints on vehicle capacity, pickup/ delivery time-window, customer ride-time and battery-charging restrictions. In this study, we designed vehicle dial-a-ride operation system and algorithm development for dynamic variants of elec-tric vehicles DAR, to enable on-line simulations of realistic scale for on-demand transit.

Also in

General Computers

View All