Sentinel: An Onboard System for Intelligent Vehicles to Reduce Traffic Delay during Freeway Incidents

by   Goodarz Mehr, et al.

This paper introduces Sentinel, an onboard system that guides the lane change behavior of intelligent vehicles during a freeway incident to reduce congestion and delay. Sentinel is built upon a probabilistic prediction model that uses several traffic- and driver-related parameters to estimate the probability of reaching a target position on the road using a number of lane changes. When an incident blocking the lane of an intelligent vehicle is detected, Sentinel starts estimating the probability of successfully departing the blocked lane before reaching the point of incident and alerts the vehicle to depart that lane when the probability drops below a certain threshold. To understand the impact of Sentinel on traffic flow and delay, it is used in a simulation case study of a four-lane segment of the I-66 interstate highway in the U.S. where the rightmost lane is temporarily blocked due to an incident. The results show that Sentinel can reduce average delay by up to 37 duration, Sentinel penetration rate, and traffic flow. In combination with Traffic Incident Management systems, Sentinel can be a valuable asset in reducing delay and saving billions of dollars in the cost of congestion on freeways.


page 1

page 3

page 9


Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes

This paper presents a model to estimate the probability of reaching a ne...

An OvS-MultiObjective Algorithm Approach for Lane Reversal Problem

The lane reversal has proven to be a useful method to mitigate traffic c...

Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection

Traffic congestion is a widespread problem. Dynamic traffic routing syst...

Impact of counteracting vehicles on the characteristics of a smart city transport system

The development of smart city transport systems, including self-driving ...

3D traffic flow model for UAVs

In this work, we introduce a microscopic traffic flow model called Scala...

An Extended Game-Theoretic Model for Aggregate Lane Choice Behavior of Vehicles at Traffic Diverges with a Bifurcating Lane

Road network junctions, such as merges and diverges, often act as bottle...

Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention

Nowadays, intelligent highway traffic network is playing an important ro...

Please sign up or login with your details

Forgot password? Click here to reset