Abstract:
To mitigate traffic oscillations that usually sustainably propagate upstream, this paper proposes a jam-absorption driving (JAD) strategy in the framework of Newell's car...Show MoreMetadata
Abstract:
To mitigate traffic oscillations that usually sustainably propagate upstream, this paper proposes a jam-absorption driving (JAD) strategy in the framework of Newell's car-following theory. The basic idea of the JAD strategy is to guide a vehicle to move slowly before being captured by an oscillation and terminate the slow movement when the vehicle would start to leave the jam if no such slow movement was implemented. To practically implement the idea, a two-step method is proposed to estimate the time-space ending point of the strategy, and a proper vehicle is selected to implement the JAD strategy based on a given expected absorbing speed and current traffic conditions. To test the JAD strategy, two simulated traffic scenarios are constructed based on a realistic data-driven car-following model. The first scenario, which only reproduces one oscillation, directly shows the effectiveness of the JAD idea in preventing wave propagation and capacity drop. The second scenario, which contains a series of traffic oscillations induced by the rubbernecking behavior, validates the proposed JAD strategy in more complicated and realistic conditions. It is indicated that the JAD strategy is able to absorb traffic oscillations; thus, the side effects incurred by the oscillations could be subsequently mitigated. The significance of this paper is to provide us a new idea to mitigate traffic oscillations, i.e., the JAD strategy.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 18, Issue: 4, April 2017)
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- IEEE Keywords
- Index Terms
- Traffic Oscillation ,
- End Point ,
- Simulation Scenarios ,
- Framework Of Theory ,
- Slow Movement ,
- Traffic Conditions ,
- Strategy Framework ,
- Capacity Drop ,
- Idea Of Strategy ,
- Significance Of This Paper ,
- Empirical Data ,
- Highway ,
- Travel Time ,
- Constant Speed ,
- Traffic Flow ,
- Oscillation Period ,
- Congested ,
- Wave Speed ,
- Wave Direction ,
- Local Fluctuations ,
- Traffic Efficiency ,
- Trajectory Dataset ,
- Kinematic Wave ,
- Driver Behavior ,
- Tens Of Seconds
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Traffic Oscillation ,
- End Point ,
- Simulation Scenarios ,
- Framework Of Theory ,
- Slow Movement ,
- Traffic Conditions ,
- Strategy Framework ,
- Capacity Drop ,
- Idea Of Strategy ,
- Significance Of This Paper ,
- Empirical Data ,
- Highway ,
- Travel Time ,
- Constant Speed ,
- Traffic Flow ,
- Oscillation Period ,
- Congested ,
- Wave Speed ,
- Wave Direction ,
- Local Fluctuations ,
- Traffic Efficiency ,
- Trajectory Dataset ,
- Kinematic Wave ,
- Driver Behavior ,
- Tens Of Seconds
- Author Keywords