scholarly journals Optimizing Last Mile Delivery Using Public Transport with Multi-Agent Based Control

2016 ◽  
Author(s):  
Rajeshwari Chatterjee ◽  
Christoph Greulich ◽  
Stefan Edelkamp
Keyword(s):  
Public Transport ◽  
Agent Based ◽  
Last Mile ◽  
Multi Agent ◽  
Last Mile Delivery

scholarly journals A Crowdsourcing Approach for Sustainable Last Mile Delivery

2018 ◽  
Vol 10 (12) ◽  
pp. 4563 ◽  
Author(s):  
Adriana Giret ◽  
Carlos Carrascosa ◽  
Vicente Julian ◽  
Miguel Rebollo ◽  
Vicente Botti
Keyword(s):  
Complex Network ◽  
Sustainable Transportation ◽  
Last Mile ◽  
Delivery Routes ◽  
Private Transportation ◽  
Multi Agent ◽  
High Reduction ◽  
Intelligent Approach ◽  
Last Mile Delivery ◽  
The City

Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of dedicated logistic moves (by cars, and/or trucks). The method attempts to reduce the number of movements originated by the parcels delivery by taking advantage of the citizens’ movements. In this way our proposal follows a crowdsourcing approach, in which the citizens that moves in the city, because of their own needs, become temporal deliverers. The technology behind our approach relays on Multi-agent System techniques and complex network-based algorithms for optimizing sustainable delivery routes. These artificial intelligent approaches help to reduce the complexity of the scenario providing an efficient way to integrate the citizens’ routes that can be executed using the different transportation means and networks available in the city (public system, private transportation, eco-vehicles sharing systems, etc.). A complex network-based algorithm is used for computing and proposing an optimized Sustainable Last Mile Delivery route to the crowd. Moreover, the executed tests show the feasibility of the proposed solution, together with a high reduction of the CO 2 emission coming from the delivery trucks that, in the case studies, are no longer needed for delivery.

scholarly journals Multimodal Automated Last-Mile Delivery System: Design and Application

2021 ◽  
Author(s):  
Farah Samouh
Keyword(s):  
Delivery System ◽  
Hybrid System ◽  
Urban Areas ◽  
Food Delivery ◽  
Efficient System ◽  
Fleet Size ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Two Hybrid

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.

"Agent-based simulation of restaurant deliveries facilitating cargo-bikes and urban consolidation"

2018 ◽  
Author(s):  
Christian Fikar ◽  
Manfred Gronalt
Keyword(s):  
Urban Areas ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Food Delivery ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Cargo Bike ◽  
The Impact ◽  
Urban Consolidation

"Last-mile distribution in urban areas is challenged by congestion and restriction for motorized traffic. To support operations, this work investigate the impact of operating urban consolidation points and facilitating cargo-bikes for urban last-mile distribution. Motivated by sample setting originating from the food delivery industry, a decision support system combining agentbased simulation with heuristic optimization procedure is developed. It considers a logistics provider who performs the last-mile delivery for multiple competing restaurants in an urban area. Therefore, both demand and the availability of cargo-bikes, which are operated by freelancers, are subject to randomness. Computational experiments investigate the impact of the available amount of cargo-bike drivers as well as the number of operated consolidation points, highlighting the importance of facilitating simulation models to support operations in highly dynamic and uncertain settings."

scholarly journals Crowd Sourcing Dynamic Pickup & Delivery Problem considering Task Buffering and Drivers’ Rejection -Application of Multi-agent Reinforcement Learning-

2021 ◽  
Vol 18 ◽  
pp. 636-645
Author(s):  
Junyi Mo ◽  
Shunichi Ohmori
Keyword(s):  
Reinforcement Learning ◽  
Numerical Experiments ◽  
Delivery Time ◽  
Crowd Sourcing ◽  
Employment Opportunities ◽  
Matching Algorithm ◽  
Delivery Problem ◽  
Last Mile ◽  
Multi Agent ◽  
Last Mile Delivery

In the last decade, dynamic and pickup delivery problem with crowd sourcing has been focused on as a means of securing employment opportunities in the field of last mile delivery. However, only a few studies consider both the driver's refusal right and the buffering strategy. This paper aims at improving the performance involving both of the above. We propose a driver-task matching algorithm that complies with the delivery time constraints using multi-agent reinforcement learning. Numerical experiments on the model show that the proposed MARL method could be more effective than the FIFO and the RANK allocation methods

scholarly journals Multimodal Automated Last-Mile Delivery System: Design and Application

2021 ◽  
Author(s):  
Farah Samouh
Keyword(s):  
Delivery System ◽  
Hybrid System ◽  
Urban Areas ◽  
Food Delivery ◽  
Efficient System ◽  
Fleet Size ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Two Hybrid

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.

scholarly journals Assessing the Impacts of Crowdshipping Using Public Transport: A Case Study in a Middle-Sized Greek City

2022 ◽  
Vol 2 (1) ◽  
pp. 55-81
Author(s):  
Ioannis Karakikes ◽  
Eftihia Nathanail
Keyword(s):  
Public Transport ◽  
Sharing Economy ◽  
Evaluation Framework ◽  
Greek City ◽  
Urban Freight ◽  
Last Mile ◽  
Urban Freight Transport ◽  
Alternative Scenarios ◽  
Last Mile Delivery

Crowdsourced deliveries or crowdshipping is identified in recent literature as an emerging urban freight transport solution, aiming at reducing delivery costs, congestion, and environmental impacts. By leveraging the pervasive use of mobile technology, crowdshipping is an emerging solution of the sharing economy in the transport domain, as parcels are delivered by commuters rather than corporations. The objective of this research is to evaluate the impacts of crowdshipping through alternative scenarios that consider various levels of demand and adoption by public transport users who act as crowdshippers, based on a case study example in the city of Volos, Greece. This is achieved through the establishment of a tailored evaluation framework and a city-scale urban freight traffic microsimulation model. Results show that crowdshipping has the potential to mitigate last-mile delivery impacts and effectively contribute to improving the system’s performance.

scholarly journals Assesment of the potential of cargo bikes and electrification for last-mile parcel delivery by means of simulation of urban freight flows

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Carlos Llorca ◽  
Rolf Moeckel
Keyword(s):  
Operating Time ◽  
Low Noise ◽  
Electricity Production ◽  
Distribution Centers ◽  
Agent Based ◽  
Urban Freight ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Parcel Deliveries ◽  
Motorized Vehicles

Abstract Background The paper presents a simulation model for freight. In the paper, this model is applied to understand the impacts of electric vans and cargo bikes for the last-mile delivery of parcels. Cargo bikes are electrically assisted vehicles that distribute parcels from micro depots located close to the final customers by means of short tours. The parcels are sent from the major distribution center to micro depots in vans (called feeders). Materials and methods An agent-based model is used for the purpose of the paper. The model is based on the disaggregation of commodity flows to represent trucks (for all commodities) and individual shipments (for parcel deliveries). The model represents microscopically every freight vehicle in the study area. Results The simulation of various scenarios with different shares of cargo bikes and electric vans assesses the impacts of electrification and cargo bikes. The use of cargo bikes to deliver parcels allows to reduce the number of motorized vehicles, although the presence of large parcels requires that at least half of deliveries by vans are still required. The shift to cargo bikes represents a slight increase in the total operating time to deliver the parcel demand. With low shares of cargo bikes, the total distance traveled increases, since the reduction of van tours cannot compensate the additional feeder trips from distribution centers to micro depots. The cargo bikes also do not reduce the number of vehicles for the served area, but modify the composition of vehicle types. Low noise, smaller, low emission vehicles increase, while delivery vans are reduced. Conclusion Both cargo bikes and electric vans are able to reduce CO2 emissions, even after accounting for the emissions related to electricity production.

A Multi-agent based Micro Grid Operation Method

2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  
Keyword(s):  
Agent Based ◽  
Operation Method ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Operation
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