Integrate Autonomous Delivery Vehicle into Sustainable Urban Logistics Planning and Optimization: Economic and Environmental Evaluation

Kaisar, Evangelos I.; Liu, Dan; Tabassum, Anika; Florida Atlantic University. Freight Mobility Research Institute

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Integrate Autonomous Delivery Vehicle into Sustainable Urban Logistics Planning and Optimization: Economic and Environmental Evaluation

2021-07-01
By Kaisar, Evangelos I. ; Liu, Dan ; Tabassum, Anika

English

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Details:

Creators:

Kaisar, Evangelos I. ; Liu, Dan ; Tabassum, Anika

Kaisar, Evangelos I. ; Liu, Dan ; Tabassum, Anika Less -
Corporate Creators:

Florida Atlantic University. Freight Mobility Research Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Autonomous Vehicles Delivery Vehicles E-grocery Delivery Network, Economic Factors Electronic Commerce Grocery Stores Last-mile Delivery Logistics Operating Costs Optimization Sustainable Transportation Urban Areas
Publication/ Report Number:

FMRI-Y3R3
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Freight Mobility Research Institute. Florida Atlantic University
Abstract:

The last mile problem of E-grocery Distribution comprises one of the most costly and highest polluting components of the supply chain in which companies deliver goods to end customers. To reduce transport cost and fuel emissions, a new element of ground-based delivery services, autonomous delivery vehicles (ADVs), is included in the E-grocery distribution system for improving delivery efficiency. Thus, the objective of this study is to optimize a two-echelon distribution network for efficient E-grocery delivery, where conventional vans serve the delivery in the first echelon and ADVs serve delivery in the second echelon. The problem is formulated as a two-echelon vehicle routing problem with mixed vehicles (2E-VRP-MV) with a nonlinear objective function, in which the total transport and emission costs are optimized. This optimization is based on the flow assignment at each echelon and to realize routing choice for both the van and ADV. A two-step clustering-based hybrid Genetic Algorithm and Particle Swarm Optimization (C-GA-PSO) algorithm is proposed to solve the problem. Computational results of up to 21, 32, 50, and 100 customers show the effectiveness of the methods developed here. At last, the impacts of the layout of the depot-customer and customer density on the total cost are analyzed. This study sheds light on the tactical planning of the multi-echelon sustainable E-grocery delivery network.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:c5789f0948362a1dce942560af299248022281f50e1b4dbf5f563380869b4a29cc3a3e34982d3d456af1ee8b306e9de8ce1d03cafc82298bdf91bdd02250f0c1
Download URL:

https://rosap.ntl.bts.gov/view/dot/80394/dot_80394_DS1.pdf
File Type:

[PDF-865.02 KB]