智能运输运营商需要所有运输子系统之间的无缝连接,以提供高效, safe movement of goods and people.
![Blog callout image Transport smart operations 402x226 a person sitting at a table](http://web-assets.xjiu.net/-/media/assets/internet/images/blog-callout-image-smart-operations-transport-402x226.jpg?h=226&iar=0&w=402&v=1&d=20230913T090203Z&hash=739A7A5E5B72F673BEFC80A07DA0C75E)
在交通运输火狐体育手机,拼凑技术将不再奏效. You can’t simply add boxes and services, in an ad-hoc way, and expect to get your goods and people where they need to be, when they need to be there. 将运输子系统与实时通信连接起来的整体方法是 smart transportation and the foundation of your future.
Moving more people and goods faster, at lower cost, and with fewer risks, are among the many challenges of the day. Before the global health crisis, people were travelling more for both business and pleasure, and transporting goods was on the rise. When the pandemic hit, transportation operators had to adapt their operations, almost overnight, 利用他们现有的任何数字技术.
If you wanted to stay in business, contactless payment, 虚拟售货亭和自动化操作迅速成为“事实上”的经营方式. 任何可以减少或消除人类互动或干预需求的技术优势都被纳入其中.
As the pandemic stretched from weeks to months, and into a second year, the pressure to provide long-term, 有效的数字解决方案不仅仅是对危机的拼凑回应, has only increased. 这次大流行非常清楚地表明,交通运输业需要转向更智能的环境.
Connectivity creates opportunity
At their core, 每个运输经营者都需要高效、顺利地通过他们的系统运送人员和货物, 这意味着他们必须同样高效和平稳地连接他们系统中的数据. 挑战在于,虽然大多数运输运营商都有大量的路线数据, asset management, communications, security, video streams, passengers and business apps, it’s isolated within different subsystems.
When subsystems aren’t interconnected, there’s no way to share information across departments, or roles within the organisation in real-time. And perhaps more importantly, 我们错过了利用所有这些数据来保证货物和乘客的移动和安全的机会.
Just consider what needs to happen, for example, if an electromechanically operated gate doesn’t open. 需要通知维修人员有关情况,以便尽快开始调查和维修. 需要规划备选路线、资产部署和乘客管理. 旅客需要被告知航班延误、改道或取消. 前线的员工需要获得所有最新信息,以解决乘客的询问. Subsystems that are not interconnected create delays, uncertainty, 不安全感会对局势产生巨大的负面影响.
However, 连接的子系统可以执行预先确定的协议,确保维修及时进行,并告知乘客每个阶段发生的情况. In addition, 利用数据实现更智能的交通环境还有其他的机会, including:
• Optimising route planning and asset management: 在子系统之间共享实时数据可以保持运输操作的顺利和按时进行,并最大限度地减少浪费. 结合和分析来自Wi-Fi和票务子系统的数据可以突出趋势,识别不断变化的需求水平,使运营商能够优化燃料, energy, or human resources. 基础设施投资也可以与预期交通流量保持一致,以优化预算.
• Improving passenger and customer experiences: With access to real-time information from multiple systems, 运营商可以提供车辆和货物动态的实时更新, warn about impending weather situations, 并帮助有效地规划人与物的端到端旅程.
• Monetising data: 对业务的全面统计可以揭示增加收入的新机会. For example, 交通模式数据可以提供洞察力,根据乘客和客户的预期位置,为他们提供附近产品和服务的折扣.
Connectivity at the foundation of smarter operations
智能交通需要一个连接所有子系统的单一连接基础. While wireless connectivity is the most efficient, cost-effective, and environmentally friendly way to connect them, 重要的是要选择对每个位置最有意义的连接选项, system and application. As well, existing wired connectivity infrastructure, such as optical fibre and Ethernet must be considered. 利用现有的基础设施可以简化部署,并确保您从以前的投资中获得最大的回报. And don’t forget about management — a unified management system, 跨有线和无线环境提供了对所有系统和子系统的无缝可见性.
有了连接的基础,您需要考虑实现智能操作所需的技术, such as:
• Virtualisation and automation 简化基础设施,减少对硬件的需求,并最大限度地减少维护需求
• Cloud technologies to enable smarter automation and increase sustainability
• Artificial intelligence and machine learning enabling insightful informed decision-making
• Convergence 将运营和IT系统及子系统结合在一起的技术,以简化基础设施并最大限度地减少对环境的影响
• Data anonymisation to ensure data privacy is guaranteed
Toward smarter transport
知识就是力量,运输子系统连接得越紧密,操作就越智能、越强大. 所有系统相互连接时产生的实时信息流可以提供有关问题的早期预警, delays, and hazards and that can provide better outcomes for everyone. 乘客和货物的安全可以得到更好的保障.
Download our white paper, 通过数字化转型实现更智能、更环保、更安全的交通了解阿尔卡特朗讯企业业务是如何帮助运营商走向智能交通的.
최신 블로그
![GettyImages-116821418](http://web-assets.xjiu.net/-/media/assets/internet/images/ale-power-of-ai-data-management-blog-image.jpg?v=1&d=20240628T071225Z)
Exploring the transformative power of AI in data management
ALE的研究深入研究了人工智能在数据管理中的几个创新应用,并强调了持续创新的重要性.
![AI in cybersecurity blog image](http://web-assets.xjiu.net/-/media/assets/internet/images/ai-cybersecurity-1200x299-banner.jpg?v=1&d=20240612T091832Z)
Benefits and risks of AI for combatting cyberthreats
While AI can reduce workload, provide new types of protection and increase adaptablity, it also entails new risks.