Bonding Cars and Comms
Let’s face it: our road transport systems are jamming up – and it’s just getting worse! In order to improve transport infrastructures, the global focus is on the merger of physical transport and telecoms to optimise transport volumes, speed, accuracy as well as security, and actually reducing the environmental impact. Smart traffic management needs Software-Defined Networks (SDN) and Software-Defined WAN access (SD-WAN) to manage hefty increases in mobile data traffic.
All over the world, road, rail, sea and air transport lanes are under pressure to handle increasing traffic volumes. We have in previous blogs reviewed various aspects of the challenge at sea (Maritime network connectivity – all at sea?), and in public transport (SD-WAN handles fleet management and passenger services).
Road transport planners such as the ones in Singapore in their 2030 Smart Mobility plans (Source: https://www.lta.gov.sg/content/dam/ltaweb/corp/RoadsMotoring/files/SmartMobility2030.pdf)
pursue several strategies to increase throughput:
- Real-time traffic management systems to reduce congestion
- In-car automation to reduce risk of collision and economise on fuel and power consumption
- Public transport and car-sharing off-load to reduce the number of vehicles on the roads and reduce the number of in-city parking spaces required
SD-WAN is a key enabler
Better road traffic management can alleviate traffic jams, but will entail a huge increase in WAN traffic volumes. Software Defined Network (SDN) and Network Function Virtualisation (NFV) technologies are emerging to handle the surge in data volumes on the WAN. The software-centric approach redefines the core WAN architecture, enabling it to adapt to fluctuating and complex network traffic patterns, and the ever-growing demand for mobile comms.
Mobile access will use a wide range of network services: via satellites, multiple cellular mobile services, Wi-Fi, Bluetooth and right down to close-range, Low Power Wide Area (LPWA) communication for Internet-of-Things (IoT) services. The autonomous car will need to intelligently access several of these channels simultaneously.
That requires intelligent mobile SD-WAN access technologies from vendors like Peplink and CradlePoint that can bond available access channels to handle the wide range of connections from IoT traffic bursts to huge terabit file transfers.
Automation, sensors, big data
Real-time traffic management relies on sensors feeding data to algorithms that identify where congestion is likely to occur (e.g. at traffic lights and in lanes) and what alleviating measures may be undertaken to minimise them.
Sensors come in many shapes and forms. Traffic IoT includes:
- Fixed ground sensors such as traffic cams, in-road sensors, and meteorological and pollution sensors
- Mobile ground sensors in network-connected cars;
- Sensors on public transport systems such as buses and trains where the routes and timetables are known before hand
- Airborne topographical aerial surveillance to monitor ad-hoc hotspots such as accidents and emergencies.
- Drones of course have many other functions than aerial traffic management monitoring. This can range from NASA’s planetary rovers for the Mars environment, to high precision agricultural Unmanned Aerial Vehicles (UAVs). In the latter case farmers are using what was once military aviation technology to grow better crops using sensors and robotics to bring big data to precision agriculture.
- Amazon recently announced successful trials of its centrally managed Prime Air drone delivery service in Cambridge, UK. The drone successfully delivered a TV streaming stick and bag of popcorn to the garden of a nearby customer! However, if this scales up, it will directly impact a lot of package delivery services.
The automotive changes we are witnessing today all point to a steep rise in mobile communication needs that can adapt to changing signal availability be it cellular, Wi-Fi or emerging IoT communication standards. That will require intelligent SD-WAN devices to optimise access to and use of multiple network services.