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.

Related Content

  • June 29, 2016
    Are truck bans the wrong move in the battle for air quality
    Low emission zones and heavy goods vehicles’ access to city centres may at first glance appear attractive but how effective are such controls? Jon Masters reviews emerging trends across Europe. Around 1,700 European cities have implemented low emission zones (LEZs) and in addition some have restricted city centre access for heavy goods vehicles (HGVs). Even those that restrict HGV access, such as Paris and Rome, allow exemptions at certain times and for particular classes of vehicle. But with what effect?
  • October 2, 2018
    Congestion pricing - no such thing as a free ride
    The widespread adoption of autonomous vehicles is likely to increase congestion, many experts believe. But Wes Guckert of Traffic Group believes that tolling could provide the answer. While it is still hard to wrap your head around the idea of getting into a vehicle without a driver, the industry is now used to hearing, reading, participating in the advancement of autonomous vehicles (AVs). Those in the industry have heard about Uber delivering a shipment of Budweiser, or the convoy of driverless trucks
  • April 1, 2015
    MIT study combines traffic data for smarter signal timings
    Researchers at Massachusetts Institute of Technology (MIT) have found a method of combining vehicle-level data with less precise, but more comprehensive, city-level data on traffic patterns to produce better information than current systems provide. They claim this reduce delays, improve efficiency, and reduce emissions. The new findings are reported in a pair of papers by assistant professor of civil and environmental engineering Carolina Osorio and alumna Kanchana Nanduri, published in the journals Tra
  • October 8, 2015
    Xerox demonstrates effectiveness of vehicle passenger detection system
    Xerox recently piloted its vehicle passenger detection system in Europe on the busy French-Swiss border, to demonstrate how an accurate automated system would enable transport authorities to operate high occupancy vehicle (HOV) lanes and encourage commuters to adopt carpooling. The pilot, conducted in conjunction with the French Centre for Studies and Expertise on Risks, Environment, Mobility, and Urban and Country planning (Cerema) and the Regional Directorate for the Environment, Planning and Housing (