student

Problem and implemented solution

The problems that can be solved: Low delivery efficiency: Traditional express delivery has low manual delivery efficiency during the "last mile" delivery process, which is prone to delays and poor customer experience. High labor costs: Manual delivery requires a large amount of manpower, especially during peak hours, which increases the cost pressure on enterprises. Traffic congestion: Urban traffic congestion makes it difficult for express delivery vehicles to deliver on time, sometimes resulting in package delays. Security risk: There is a risk of package loss or damage during manual delivery, which affects customer trust. Environmental impact: The traditional delivery mode using fuel vehicles causes environmental pollution and carbon emissions. Future Transportation: By monitoring and managing the driving range of unmanned vehicles in real-time, future traffic control and scheduling can be more efficiently carried out, optimizing the efficiency of urban traffic management. The adopted solution: Unmanned delivery vehicles: Develop intelligent unmanned delivery vehicles that utilize advanced autonomous driving technology and navigation systems to improve the efficiency of "last mile" delivery. Intelligent scheduling system: Build an intelligent scheduling platform based on big data, analyze order demand and traffic conditions in real time, optimize delivery routes, and alleviate the impact of traffic congestion. Multi mode delivery: Combining unmanned vehicles with other efficient delivery methods (such as electric bicycles, trucks, etc.) to flexibly respond to delivery needs in different regions and weather conditions. Monitoring and feedback mechanism: Install monitoring equipment on unmanned delivery vehicles to ensure the safety of packages, while establishing customer feedback mechanisms to improve service quality. Green delivery: Promote the use of electric unmanned vehicles to reduce environmental impact and contribute to sustainable development. Through the above plan, our project aims to improve the delivery efficiency and customer experience of the express delivery industry, reduce labor costs, achieve green and intelligent delivery, and to some extent promote technological innovation and development in related fields, contributing to future intelligent transportation and unmanned vehicle technology

China
Nomination

Competencies And Staff Development

Topic

Teams, leaders of projects and solutions in the field of blockchain (distributed ledger) technologies, artificial intelligence, the Internet of Things, digital twins, cognitive technologies and unmanned aircraft systems

Estimated duration of implementation

Estimated total time: 1+3+2+2=8 months

Implementation geography

As of now, the Neolithic unmanned vehicles have been successfully deployed in dozens of application scenarios in 12 overseas countries including China, Japan, Singapore, Thailand, Malaysia, the United Arab Emirates, Saudi Arabia, Switzerland, Norway, Germany, the United Kingdom, Australia, and Spain.

Description of competitive advantages

Competitive advantages of the project Advanced Technology Cooperation Joining forces with Xinshi Huitong's technology: Leveraging Xinshi Huitong's technological accumulation in the fields of intelligent transportation and autonomous driving, we can quickly achieve technology integration and upgrading, and enhance the project's technological competitiveness. Excellent data processing capability Intelligent data analysis: Utilizing the professional capabilities of New Stone Huitong in big data and AI algorithms, optimize delivery routes and scheduling strategies to ensure delivery efficiency and reliability far exceed traditional models. Systematic solution Comprehensive urban delivery solution: Combining the resources and experience of Xinshi Huitong, as well as our independently developed electronic fence technology based on Baidu Maps, we can provide end-to-end solutions from order management to last mile delivery, enhancing the overall customer experience. Green and Sustainable Development Application of environmental protection technology: Jointly promote the use of electric unmanned delivery vehicles with Xinshi Huitong to ensure that the project meets the standards of green transportation and attracts more and more environmentally conscious enterprises and consumers. Flexible market adaptability Quickly respond to market changes: Through close cooperation with Xinshi Huitong, we aim to enhance our responsiveness to changes in market demand and adjust our strategies in a timely manner to meet constantly evolving customer needs. Cooperation model with complementary advantages Resource sharing and synergy effect: Combining the advantages of New Stone Huitong in technology research and development, market expansion, etc., a win-win situation of resource sharing and collaboration is formed, further enhancing market competitiveness. Enhance customer trust Support from industry-leading enterprises: As a well-known technology company in the industry, Xinshi Huitong's brand and reputation can effectively enhance the credibility of our projects and strengthen customer trust.

List of awards and prizes, media articles about the organization/individual or the Practice

The first batch of unmanned delivery vehicles on the road in China, the national level specialized and new "Little Giant" title, and the first batch of innovative application testing notices for driverless intelligent connected vehicles in Shanghai, etc

List of scientific works and IP connected with the Practice

《Design and Implementation of Campus Unmanned Delivery Vehicle》

Contacts

For queries about BRICS Solutions Awards please reach out to Agency for Strategic Initiatives International Office Team:

Partners

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