Skip to main content

Michigan DoT implements truck parking initiative

A new project is balancing up the needs of truckers wanting a break from the road and the availability of parking spots in Michigan. Commercial truck drivers typically require around 30 minutes to find somewhere to stop for a rest. They frequently find that the five public rest areas on the heavily-trafficked 129-mile stretch of I-94 in southwest Michigan, which carries around 10,000 trucks a day in the Canada-Detroit-Chicago corridor, are full.
September 9, 2014 Read time: 2 mins
Rick Warner of TSPS (left) and Eric Morris of HNTB

A new project is balancing up the needs of truckers wanting a break from the road and the availability of parking spots in Michigan.

Commercial truck drivers typically require around 30 minutes to find somewhere to stop for a rest. They frequently find that the five public rest areas on the heavily-trafficked 129-mile stretch of I-94 in southwest Michigan, which carries around 10,000 trucks a day in the Canada-Detroit-Chicago corridor, are full.

This means that they often end up parking in unsuitable spots such as abandoned petrol stations, highway shoulders and commercial parking lots.
In a bid to ease this problem, in April 2012 Michigan DoT selected HNTB to design and oversee installation of a Truck Parking Information and Management System (TPIMS). This would identify available parking slots in the public rest areas and provide this information to truckers in real time.

The project was funded with $4.48 million from the Federal Highway Administration.

6278 HNTB Corporation installed cameras and other sensors at 15 public and private parking areas. A variety of methods is used to get information on the location of available parking slots to the drivers – dynamic parking information signs, a dedicated website (www.trucksmartparkingservices.com), a smartphone application and connected vehicle technology.

“Data collection went live earlier this year and has confirmed our original assumption that rest areas are often overcrowded and that private parking is under-utilised,” said Collin Castle, Michigan DoT’s connected vehicle technical manager. “We now have the data we need to provide drivers with real-time availability so they can make informed parking decisions.”

According to HNTB project manager Eric Morris, “The TPIMS is designed to be directly scalable elsewhere. It can be deployed quickly and efficiently in other states. Our vision is a network that covers a trucker’s route from origin to destination."

www.hntb.com

For more information on companies in this article

Related Content

  • Autotalks shows V2X chipset
    September 8, 2014
    The company’s integrated V2X chipset is designed for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication applications for vehicle safety and mobility.
  • Europe’s Sartre road train project takes to public roads
    May 29, 2012
    A road train, comprised of three Volvo cars plus one truck automatically driving in convoy behind a lead vehicle, has operated on a public motorway among other road users. The historic test on a motorway outside Barcelona, Spain, took place last week and was pronounced a success. “This is a very significant milestone in the development of safe road train technology,” commented Sartre project director, Tom Robinson of Ricardo. “For the very first time we have been able to demonstrate a convoy of autonomousl
  • Hikvision offers faster and better traffic management decisions
    April 8, 2021
    In today’s crowded cities, effective traffic management is critical for reducing congestion and preventing accidents. With the Hikvision Traffic Visualisation Dashboard, traffic managers can view historical and real-time traffic information, helping them make the best decisions and improve outcomes for road users and residents.
  • Trafficvision introduces itself to ITS industry
    May 22, 2012
    Trafficvision is introducing itself to the ITS crowd at this year’s annual meeting and exposition, showcasing its line of in-line devices that transform existing traffic cameras into intelligent sensors capable of detecting incidents and collecting data in real time.