To help drivers safely enter the arterial road from the access road, the authors develop a crash warning system for vehicles in right‐turn scenario based on DSRC (dedicated short range communications). Drivers’ right‐turn behaviours from an access road to an arterial highway are considered in the system. Warning algorithms were tested with field data and DSRC on‐board and roadside equipment. Corresponding outliers filter shows a reliable performance. In this system, right‐turn process is divided into three phases: turn‐in, keep‐steady, and turn‐out. Based on the field data, they establish regression models for each phase. Model results show that: (i) the overall duration of the three phases of the right‐turn manoeuvre increases with the amount of cars coming from left on main artery; (ii) the amount of cars that are influenced by the arterial traffic increases the duration of first two phases, but decreases the last phase duration; (iii) the longer the first two phases last, the shorter the last phase would be; and (iv) drivers tend to decelerate before turning right when there are more than two cars coming from left.
Develop right‐turn real‐time crash warning system at arterial access considering driver behaviour
IET Intelligent Transport Systems ; 11 , 1 ; 44-52
2017-02-01
9 pages
Article (Journal)
Electronic Resource
English
arterial road , turn‐out phase , alarm systems , regression models , outlier filter , arterial traffic , warning algorithms , regression analysis , access road , right‐turn manoeuvre , human factors , road traffic , mobile radio , turn‐in phase , right‐turn real‐time crash warning system , roadside equipment , automobiles , driver right‐turn behaviours , keep‐steady phase , arterial highway , DSRC onboard , intelligent transportation systems , dedicated short range communications , arterial access
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