IoT Techniques and Elements for Drone Package Delivery Networks
• Chapter 4 – Use Cases
• Chapter 5 – Drone Cargo Delivery Network Elements
• Chapter 6 – Conclusions
• Chapter 7 – References
• Chapter 8 - Acknowledgements
2 MOTIVATIONS AND CHALLENGES
There are many reasons to implement a drone-based cargo delivery network , including desired improvements in speed of deliveries , traffic congestion , carbon footprint , labor content and cargo security . There are also many challenges to widespread deployment , including network scalability , regulation and cost .
2.1 DELIVERY SPEED
B2B and B2C customers require faster deliveries , trending toward the interval between the online order of goods and their delivery at the customer ’ s location being measured in hours or minutes . This challenge is especially acute for time critical or perishable cargo like medical supplies , biological samples , critical repair parts , or hot / cold / frozen foodstuffs . Traditional truckbased logistics networks cannot meet this challenge at scale . But drone-based networks can greatly improve last-mile cargo delivery delays for many classes of cargo .
2.2 TRAFFIC CONGESTION
Reduced traffic congestion is another motivator for drone delivery networks . According to the American Trucking Associations , there were 38.9 million trucks registered in the US and used for business purposes ( excluding government and farm ) in 2020 [ 4 ]. These add significantly to the traffic congestion , especially in dense city centers where delivery vehicles are often doubleparked . Congestion due to delivery vehicles is expected to increase . Table 2-1 illustrates the sizes reported by the four largest truck delivery fleets operating in the US .
|
Delivery Fleets |
|
Service |
Number of Trucks |
Electrification Plans |
US Postal Service |
232,000 |
✓ |
UPS |
126,000 |
✓ |
FedEx |
86,000 |
✓ |
Amazon |
70,000 |
✓ |
Table 2-1 : Large US delivery truck fleets . |
30 August 2023