TY - GEN
T1 - Agent-based simulation of a shared, autonomous and electric on-demand mobility solution
AU - Jager, Benedikt
AU - Agua, Fares Maximilian Mrad
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Recent technological progress in automation and electrification gives room to create sustainable, costumer-orientated and economical transportation solutions. For vehicle-based systems, on-demand mobility services are considered to play an important role. To support decision making in an early stage of development, we propose a mobility on-demand simulation that reflects its system behavior on an operational level. Its core forms a discrete event simulation combined with a multi-agent approach. The main entities are fully-automated electric taxis, a central dispatcher and customers. All agents live in a shared environment consisting of a street network and charging infrastructure. The dispatching center handles matchmaking between customers and vehicles with the help of a Contract Net Protocol. Taxis compete for customer transportation requests broadcasted by the dispatcher. Routing and charging decisions are made individually by each agent. A simulation study evaluates three mobility on-demand services for Munich. The basic scenario analyzes a limited service area, where a shared vehicle fleet is responsible for the entire local traffic demand. The second scenario considers additional commuter trips entering or leaving this zone. The third scenario investigates a citywide operation. Key findings confirm the feasibility of operating a shared autonomous vehicle fleet with both high service levels and vehicle utilization.
AB - Recent technological progress in automation and electrification gives room to create sustainable, costumer-orientated and economical transportation solutions. For vehicle-based systems, on-demand mobility services are considered to play an important role. To support decision making in an early stage of development, we propose a mobility on-demand simulation that reflects its system behavior on an operational level. Its core forms a discrete event simulation combined with a multi-agent approach. The main entities are fully-automated electric taxis, a central dispatcher and customers. All agents live in a shared environment consisting of a street network and charging infrastructure. The dispatching center handles matchmaking between customers and vehicles with the help of a Contract Net Protocol. Taxis compete for customer transportation requests broadcasted by the dispatcher. Routing and charging decisions are made individually by each agent. A simulation study evaluates three mobility on-demand services for Munich. The basic scenario analyzes a limited service area, where a shared vehicle fleet is responsible for the entire local traffic demand. The second scenario considers additional commuter trips entering or leaving this zone. The third scenario investigates a citywide operation. Key findings confirm the feasibility of operating a shared autonomous vehicle fleet with both high service levels and vehicle utilization.
KW - agent-based simulation
KW - autonomous driving
KW - electric fleet
KW - electric vehicle
KW - mobility on-demand
KW - mobility-as-a-service
KW - shared mobility
KW - taxi
UR - http://www.scopus.com/inward/record.url?scp=85046298070&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2017.8317947
DO - 10.1109/ITSC.2017.8317947
M3 - Conference contribution
AN - SCOPUS:85046298070
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 250
EP - 255
BT - 2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
Y2 - 16 October 2017 through 19 October 2017
ER -