Measures to alleviate and alleviate traffic congestion on Expressway

We analyze the causes of traffic congestion and implement measures to alleviate and alleviate traffic congestion

Causes of traffic congestion, transition and analysis

Image of cause and transition / analysis of traffic congestion

About 73% of the traffic jam that occurred in 2018 in a traffic jam caused by the traffic concentration, of which about 66% is In-bound occurred in the slope and sag part ※ 1.

Congestion loss time * 2 decreased to about 50% of the peak time in 2008, but since 2009 when the special holiday discount was applied, it increased significantly due to the increase in traffic volume.

Special discounts for holidays in 2011 (upper limit for rural areas: 1, the rate has been declining since 2013 due to the effects of various measures, but in recent years it has turned to an increasing trend again due to the shift in central transportation accompanying the network development in the Tokyo metropolitan area. Going forward, we will continue to analyze the causes of traffic congestion and promote further measures to prevent traffic congestion in order to prevent customers from losing valuable time.

  • 1 Out-bound from the hill In-bound recess approaches the hill
  • 2 Indicators showing the impact of traffic congestion on the number of vehicles and time
Main causes of traffic congestion

[In-bound slope and sag section]

In-bound images of the slowdown in the hill

[Tunnel entrance]

Image image of speed decrease at the tunnel entrance

[Interchange merger]

Image of reduced traffic capacity at confluence and divergence
Causes of traffic congestion
Image of the cause of traffic congestion
Location of traffic congestion
Image of traffic congestion
Traffic loss time transition
Image of transition of traffic congestion loss time

Congestion measures

In areas where traffic congestion is becoming apparent, we are implementing measures to reduce traffic congestion and improve punctuality by installing (adding) additional lanes.

Kan-Etsu Expressway Arashiyama Ogawa IC-Hanazono IC (Out-bound line) additional lane installation example

Kan-Etsu Expressway Arashiyama Ogawa IC-Hanazono IC (Out-bound line) additional lane installation example Image image before operation
Kan-Etsu Expressway Arashiyama Ogawa IC-Hanazono IC (Out-bound line) additional lane installation example Image after operation
Kan-Etsu Expressway Arashiyama Ogawa IC-Hanazono IC (Out-bound line) additional lane installation example Image before measures
Before measures
Kan-Etsu Expressway Arashiyama Ogawa IC-Hanazono IC (Out-bound line) additional lane installation example Image image after countermeasures
After measures

Strengthening information dissemination regarding traffic congestion

In order to avoid traffic congestion and drive comfortably, we provide traffic congestion forecast information on the "Traffic Traffic Forecast Guide" and the NEXCO EAST website "DraPla". In addition, since 2017, we have set up traffic jam forecasters ® to predict and explain traffic jams at our Hokkaido, Tohoku, Kanto, and Niigata Regional Head Office to strengthen public relations activities to avoid traffic jams in each region.

Since December 2017, Tokyo Wan Aqua-Line Expressway has been implementing "AI traffic congestion prediction," which uses NTT DoCoMo's AI technology to predict traffic congestion.

Image image of congestion status of Tokyo Wan Aqua-Line Expressway (In-bound line)
Tokyo Wan Aqua-Line Expressway (In-bound Line) Congestion Status
Population distribution as of 12:00 on the day
Image of population distribution as of 12:00 on the day