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Home - Smart transportation trends: Traffic management and smart parking
FundamentalsInternet of Things (IoT)NB-IoTSensors

Smart transportation trends: Traffic management and smart parking

by Juan Pedro Tomás June 27, 2017
written by Juan Pedro Tomás June 27, 2017 Share
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Smart transportation solutions are fostering urban mobility

The smart parking industry continues to grow and has emerged as a major internet of things (IoT) use case that falls under the umbrella of smart transportation. An increasing number of cities around the world struggle with traffic congestion and lack of parking space. One of the main reasons for the increasing adoption of smart parking solutions is the technology components aren’t that difficult or complex in terms of deployment and management. Smart parking solutions also help cities to reduce congestion and pollution as they eliminate the need for vehicles to circle looking for spaces.  Smart parking uses technology to directly improve quality-of-life of citizens.

While the deployment of sensor technologies continues to be core to the development of smart parking solutions, a number of additional technology innovations are also enabling more adaptable systems—including cameras, wireless communications, data analytics, induction loops, smart parking meters, and advanced algorithms.

The smart parking sector is expected to be significantly influenced by the arrival of automated vehicles (AVs). Several cities around the world are already carrying out trials with self-parking vehicles, specialized AV parking lots, and robotic parking valets.

In Boulder, Colorado, ParkPlus is deploying a fully automated parking garage in Boulder’s PearlWest mixed-use development. This automated parking system uses lasers to scan vehicles and a robotic valet to park the cars. Vehicles are transported by a robotic dolly that lifts and transfers them to storage racks.

Telecom operators and vendors are also working on the development of smart parking technology. Last year Chinese vendor Huawei and U.K.-based telecoms group Vodafone completed the first trial on commercial networks for pre-standard NB-IoT smart parking in Spain, which built on earlier partnership that tested out narrowband-internet of things (NB-IoT) for smart utility metering. The smart parking trial covered various indoor parking spots. Huawei said that smart parking will allow users to access parking data remotely, from mobile application, including checking parking spot availability and navigating to the available spots, among other features. The Chinese vendor also said that the solution will create new revenue streams for municipal management, lower public parking running costs, as well as helping to alleviate traffic congestion.

German car maker Audi has also implemented a smart parking solution for its factory in Ingolstadt, Germany. The site covers an area of more than 2,700,000 square meters – equivalent to more than 300 soccer pitches, and houses 43,192 employees. All of those employees must find parking in a growing lot of more than 5,000 spaces encompassing an area of 830,000 square meters. According to a case study, Audi turned to Urbiotica, a Spanish company founded on wireless sensor networks, to create a smart parking lot to reduce congestion and create a more efficient work environment.

Smart traffic management is a system where centrally-controlled traffic signals and sensors regulate the flow of traffic through the cities in response to specific demand. This type of implementation allows cities to:

  • Reduce traffic congestion by smoothing traffic flows and prioritizing traffic in response to demand in real time;
  • Reduce pollution throughout the city. These systems eliminate stop-start driving, which is inefficient and polluting;
  • Give priority to buses approaching intersections, phasing lights to give traffic flowing with buses a ‘green wave’ through the city;
  • Enable a much more effective response to traffic incidents as smart traffic management systems can be pre-programmed to handle a sudden increase in traffic.
  • Predictive capabilities based on the collection of detailed traffic data over time.

 

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Juan Pedro Tomás

Juan Pedro covers Global Carriers and Global Enterprise IoT. Prior to RCR, Juan Pedro worked for Business News Americas, covering telecoms and IT news in the Latin American markets. He also worked for Telecompaper as their Regional Editor for Latin America and Asia/Pacific. Juan Pedro has also contributed to Latin Trade magazine as the publication's correspondent in Argentina and with political risk consultancy firm Exclusive Analysis, writing reports and providing political and economic information from certain Latin American markets. He has a degree in International Relations and a master in Journalism and is married with two kids.

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