This study uses simulation-optimization and Reinforcement Learning (RL) to analyze the routing behavior of delivery vehicles (DVs). By conceptualizing the system as a stochastic k-armed bandit problem, the RL model helps DVs modify their routes based on delivery strategy selection. The experiments conducted on a simulated network with realistic traffic conditions show that employing an RL-based decision support system for en-route decision-making enhances the overall efficiency of the transport network.
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Attached devices:
Host: scsi2 Channel: 00 Id: 00 Lun: 00
Vendor: ATA Model: ST2000NM0033-9ZM Rev: GA10
Type: Direct-Access ANSI SCSI revision: 05
Host: scsi3 Channel: 00 Id: 00 Lu...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162213596632252.png)
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yarn install v1.22.22
info No lockfile found.
[1/4] Resolving packages...
error Error: certificate has expired
at TLSSocket.onConnectSecure (_tls_wrap.js:1514:34)
at TLSSocket.emit (events.js:400:28)
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