A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes

08/31/2022
by   Aolong Zha, et al.
0

This paper is a study of an application-based model in profit-maximizing multi-vehicle pickup and delivery selection problem (PPDSP). The graph-theoretic model proposed by existing studies of PPDSP is based on transport requests to define the corresponding nodes (i.e., each request corresponds to a pickup node and a delivery node). In practice, however, there are probably multiple requests coming from or going to an identical location. Considering the road networks with the integratable nodes as above, we define a new model based on the integrated nodes for the corresponding PPDSP and propose a novel mixed-integer formulation. In comparative experiments with the existing formulation, as the number of integratable nodes increases, our method has a clear advantage in terms of the number of variables as well as the number of constraints required in the generated instances, and the accuracy of the optimized solution obtained within a given time.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/28/2021

Share-a-ride problems: Models and Solution Algorithms

Some of today's greatest challenges in urban environments concern indivi...
research
03/05/2021

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery

With the freight delivery demands and shipping costs increasing rapidly,...
research
03/30/2020

Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation

Mixed-Integer Quadratic Programming (MIQP) has been identified as a suit...
research
05/06/2021

Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees

We present the novel idea of inference delivery networks (IDN), networks...
research
08/22/2019

The double traveling salesman problem with partial last-in-first-out loading constraints

In this paper, we introduce the Double Traveling Salesman Problem with P...
research
02/08/2018

Minimizing Latency in Online Ride and Delivery Services

Motivated by the popularity of online ride and delivery services, we stu...
research
05/14/2021

Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping

With rapid e-commerce growth, on-demand urban delivery is having a high ...

Please sign up or login with your details

Forgot password? Click here to reset