Design and Performance Estimation of Mixed-Robotic Fulfillment System

E-commerce retailers face the challenge to assemble a large number of time-critical picking orders. Common parts-to-picker autonomous intelligent warehouses such as automated vehicle storage and retrieval system and robotic mobile fulfillment system are often a little ill-suited for these prerequisites. A mixed-robotic fulfillment system is a hybrid robot picking system based on multi-device collaboration. It is a fusion innovation of traditional automated vehicle storage and retrieval system and robotic mobile fulfillment system. This paper comprehensively considers the characteristics of the system and customer demand, through the construction of a queuing network model to evaluate the performance of the system. A series of problems such as order service time, throughput capacity, and vehicle quantity configuration are analyzed experimentally. The validity of the model is verified by a simulation model.

Who Wants an Automated Vehicle?

New advancements in vehicle automation, electrification, data connectivity, and digital methods of sharing—known collectively as New Mobility—are poised to revolutionize transportation as it is known today. Exactly what results this disruption will lead to, however, remains unknown, as indeed the technologies and their uses are still taking shape amidst myriad interests. The impacts of this shift to New Mobility could be enormous, shaping economies, cities, and the lives of people in them. It is therefore vitally important for public interests to play a strong role in the development and deployment of these technologies. With the current trajectory of these technologies warning of the potential for increased energy use, environmental costs, and social inequity, interests at the community level need to be included and influential as soon as possible.

Investigation of Control Method for Connected-Automated Vehicle to Multiplex Dedicated Bus Lane

Dedicated bus lanes (DBLs) have been widely utilized to ensure public transport priority. To improve overall road efficiency, various control methods of multiplexing DBL are developed and discussed. In this study, we focus on the control method which is based on the connected-automated vehicle (CAV) technology, and the proposed method is validated by using microscopic traffic simulation. The simulation results show that two proposed control methods of multiplexing DBL can reduce the average delay and the average number of stops and increase the travel speed. In comparison, the real-time control method based on the CAV technology offers better effects than the improved signal light control method.