Volume 19 Issue 2
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(2): 178-190
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CHEN Jun-jie, CAI Bo-gen, SHANGGUAN Wei, WANG Jian, CHAI Lin-guo. Slot control optimization of intelligent platoon for dual-lane two-way overtaking behavior[J]. Journal of Traffic and Transportation Engineering, 2019, 19(2): 178-190. doi: 10.19818/j.cnki.1671-1637.2019.02.016
Citation: CHEN Jun-jie, CAI Bo-gen, SHANGGUAN Wei, WANG Jian, CHAI Lin-guo. Slot control optimization of intelligent platoon for dual-lane two-way overtaking behavior[J]. Journal of Traffic and Transportation Engineering, 2019, 19(2): 178-190. doi: 10.19818/j.cnki.1671-1637.2019.02.016
shu

Slot control optimization of intelligent platoon for dual-lane two-way overtaking behavior

doi: 10.19818/j.cnki.1671-1637.2019.02.016
  • 1.

    School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing 100044, China

  • 3.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

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    Abstract
  • A model of single vehicle overtaking a platoon on the dual-lane two-way road was established, and the key factors affecting the range of dangerous overtaking zone were analyzed. The step-by-step algorithm was designed when single vehicle overtakes the platoon. The relationship among the speeds of the vehicles before and after the safety slot, the speed of the overtaking vehicle entering the platoon and the safety slot range of the platoon was studied. The speed matching scheme with the minimum safety slot required for the vehicle to overtake the platoon was proposed. The objective function of the algorithm was established, and the following assumptions were made in the maximum allowable overtaking time: the overtaking vehicle and platoon travelled the longest distance, the overtaking vehicle overtaked the platoon by the most vehicles, and the acceleration and deceleration of front and rear vehicles were the minimum in the forming process of safety slot. The hierarchical constrained multi-objective optimization method based on the improved particle swarm was proposed to provide the algorithm with the optimized three-level speed guidance strategy. Analysis result shows that the overtaking dangerous zone on dual-lane two-way road is positively correlated with the number of vehicles in the platoon and the velocities of the opposite vehicles. The improved particle swarm optimization algorithm has stronger robustness and faster convergence than the traditional algorithm, and the average convergence time reduces by 39.2%. In the step-by-step process that the single vehicle overtakes the platoon, the average speed of the vehicles in the platoon increase by 9.04%, which means that in the forming process of safety slot, although the speeds of some vehicles decrease, the overall average speed of the platoon increases. The average speed of overtaking vehicle increases by 16.8%, which means that in the overtaking process, not only is the safety of overtaking vehicle guaranteed, but also its operating efficiency is improved.

     

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