Skip to main content

Carpooling - a simple solution for congestion

Cities plagued with terrible traffic problems may be overlooking a simple, low-cost solution: high-occupancy vehicle (HOV) policies that encourage carpooling can drastically reduce traffic, according to a new study co-authored by Massachusetts Institute of Technology and Harvard University researchers.
July 10, 2017 Read time: 2 mins

Cities plagued with terrible traffic problems may be overlooking a simple, low-cost solution: high-occupancy vehicle (HOV) policies that encourage carpooling can drastically reduce traffic, according to a new study co-authored by 2024 Massachusetts Institute of Technology and Harvard University researchers.

The research indicates that in Jakarta, Indonesia, after an HOV policy requiring three or more passengers in a car was discontinued on important city centre roads, travel delays became 46 per cent worse during the morning rush hour and 87 per cent worse during the evening rush hour.

At the same time, traffic suddenly became significantly worse on surrounding roads as well. Instead of siphoning more traffic onto the central roads, the policy change made congestion worse everywhere.

Jakarta installed its HOV regulations in 1992, in an effort to reduce its notoriously bad traffic problems, using a ‘three-in-one’ policy that required three passengers in each vehicle on some major roads, between 7 and 10 am and between 4.30 and 7 pm. It scrapped the policy in 2016, first for a week, then for a month and then permanently.

The researchers examined traffic-speed data from Jakarta from a week prior to the abolishing of its three-passenger policy, in late March 2016, to a month afterwards. Using data from Google Maps APIs for major roads in Jakarta, they measured travel delays, calculated from the time needed to travel one kilometre compared to the free-flow speed of the road.

After the HOV policy was abandoned, the research showed the average speed of Jakarta’s rush hour traffic declined from about 17 to 12 miles per hour in the mornings, and from about 13 to seven miles per hour in the evenings. By comparison, people usually walk at around three miles per hour.

“Eliminating high-occupancy vehicle restrictions led to substantially worse traffic,” says Ben Olken, a professor of economics at MIT and co-author of the paper detailing the study. “That’s not shocking, but the magnitudes are just enormous.”

 “HOV policies on central roads were making traffic everywhere better, both during the middle of the day and on these other roads during rush hour,” Olken observes. “That I think is a really striking result.”

The paper, Citywide effects of high-occupancy vehicle restrictions: Evidence from ‘three-in-one’ in Jakarta, is published in the journal Science.

For more information on companies in this article

Related Content

  • Alcohol interlocks aid drink drive adherence
    October 28, 2016
    The use of alcohol interlocks to prevent drink driving and change driver behaviour is gaining ground around the world but needs greater buy-in from authorities as Colin Sowman discovers. The often repeated mantra says that prevention is better than cure - and none more so than in the case of drink-driving. The introduction of the breathalyser provided an objective indication of alcohol consumption instead of having drivers touch their nose or walk in a straight line. Initially breathalysers were used as a r
  • Managing congestion, better information changes perceptions
    January 31, 2012
    Kapsch's Dietrich Leihs talks about the true fundamentals of urban pricing. In some Italian and German towns and cities, the solution to congestion is an outright ban on certain types of vehicles. As far as Dietrich Leihs is concerned, any attempt to sweeten the pill that is congestion charging is only ever going to be a partial success at best.
  • Melbourne uses big data to transform tram services
    November 7, 2013
    In Australia, Melbourne's Yarra Trams, the largest tram system in the world, is dramatically improving service on its 250 kilometres of double tracks. By using IBM big data, the cloud, mobile and analytics the company is able to reconfigure routes on the fly, pinpoint and fix problems before they occur, and respond quickly to challenges, whether it's sudden flooding, major events in the city, or just rush hour traffic. As a result, the iconic 100-year old system is consistently beating its own service
  • Machine vision makes progress in traffic applications
    June 2, 2014
    Machine Vision technology is easing the burden on hard-pressed control room staff and overloaded communications networks.