TY - GEN
T1 - Modeling and Deployment of an Autonomous Cart Pickup and Delivery System
AU - Belkhouche, Boumediene
AU - Lakas, Abderrahmane
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/26
Y1 - 2019/4/26
N2 - Our research provides a novel hardware/software autonomous car model that can be effectively deployed to carry out intelligent pickup and delivery missions. We develop a model of a Cooperative Autonomous Reactive Taxi System (CARTS) that contributes to solving the unsustainable urban traffic gridlock in large cities. Our model formulation is inspired by general the pickup/delivery problem (GPDP). Given dynamic stochastic variables that include a set of cars, a set of customers, a set of stations (e.g., bus stop), and a set of transport missions, devise autonomous intelligent carts capable of effectively carrying out these missions to satisfy the quality of service requirements and any associated constraints. Our model integrates novel capabilities, such as decentralized architecture, cooperative decision-making, autonomy, and intelligent navigation, as well as a transport requests logistics model. Our deployment prototype is a laboratory experimental set-up using autonomous robots and relevant infrastructure that demonstrate the feasibility of our pickup and delivery model. Analysis of collected data from the simulation and the physical implementation demonstrates the effectiveness of our model.
AB - Our research provides a novel hardware/software autonomous car model that can be effectively deployed to carry out intelligent pickup and delivery missions. We develop a model of a Cooperative Autonomous Reactive Taxi System (CARTS) that contributes to solving the unsustainable urban traffic gridlock in large cities. Our model formulation is inspired by general the pickup/delivery problem (GPDP). Given dynamic stochastic variables that include a set of cars, a set of customers, a set of stations (e.g., bus stop), and a set of transport missions, devise autonomous intelligent carts capable of effectively carrying out these missions to satisfy the quality of service requirements and any associated constraints. Our model integrates novel capabilities, such as decentralized architecture, cooperative decision-making, autonomy, and intelligent navigation, as well as a transport requests logistics model. Our deployment prototype is a laboratory experimental set-up using autonomous robots and relevant infrastructure that demonstrate the feasibility of our pickup and delivery model. Analysis of collected data from the simulation and the physical implementation demonstrates the effectiveness of our model.
KW - Cart transportation
KW - Cyber-physical architecture
KW - Decentralized control
KW - Pickup and delivery problem
KW - Route planning
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85065604409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065604409&partnerID=8YFLogxK
U2 - 10.1109/AICAI.2019.8701414
DO - 10.1109/AICAI.2019.8701414
M3 - Conference contribution
AN - SCOPUS:85065604409
T3 - Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
SP - 42
EP - 48
BT - Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
Y2 - 4 February 2019 through 6 February 2019
ER -