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Early ramp warning using vehicle behavior analysis

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Abstract

The ramp entrance connects the main road and the ramp and is the merging zone for vehicles from main road and ramp. As ramp entrance is considered to be the most accident-prone area, this paper focuses on the early warning to avoid collision of vehicles for the ramp entrance on freeway. Firstly, we studied the relation between the vehicle speed and collision risk by analyzing the vehicle trajectories. Secondly, the risk grades were defined based on the lag of the time when vehicles enter into the merging zone from the main road and the ramp. Finally, the risk grade was released by the information board and vehicle terminal to make driver aware of it, so that the vehicles can pass the merging zone in sequence rather than collide with each other. Theoretical analysis and experiment results show that the proposed method could realize early warning for the ramp entrance, reducing the possible traffic accidents.

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References

  • Abbas T, Bernado L, Thiel A, Mecklenbruker CF, Tufvesson F (2013) Measurements based channel characterization for vehicle-to-vehicle communications at merging lanes on highway. In: In proceedings of the 5th international symposium wireless vehicular communications, IEEE, pp 1–5

  • Alvarez JMA, Lopez AM (2011) Road detection based on illuminant invariance. IEEE Trans Intell Transp Syst 12(1):184–193

    Article  Google Scholar 

  • Bas EK, Crisman JD (1997) An easy to install camera calibration for traffic monitoring. In: In proceedings of the IEEE international conference on intellegent transportation systems, pp 362–366

  • Bertini RL, Malik S (2004) Observed dynamic traffic features on freeway section with merges and diverges. Transp Res Rec 1867:25–35

    Article  Google Scholar 

  • Buch N, Velastin SA, Orwell J (2011) A review of computer vision techniques for the analysis of urban traffic. IEEE Trans Intell Transp Syst 12(3):920–939

    Article  Google Scholar 

  • Chow AHF, Lu XY, Qiu ZJ, Shladover S, Yeo H (2009) An empirical study of traffic breakdown for variable speed limit and ramp metering control. In: 89th TRB Annual Meeting, pp 10–14

  • Dimitrakopoulos G (2011) Intelligent transportation systems based on internet-connected vehicles: fundamental research areas and challenges. In: 11th international conference on ITS telecommunications (ITST), August 2011, pp 145–151

  • Gramaglia M, Bernardos CJ, Calderon M (2013) Virtual induction loops based on cooperative vehicular communications. Sensors 13(2):14671476

    Google Scholar 

  • Hajiahmadi M, Van dWGS, Tampere C, Corthout R (2016) Integrated predictive control of freeway networks using the extended link transmission model. IEEE Tran Intell Transp Syst 17(1):6578

    Google Scholar 

  • Imai S, Taguchi K, Kashiwa T (2014) Effect of positions of car antenna on radio wave propagation for inter-vehicle communications at intersection. In: IEICE Technical report, EST2014-40, p 187190

  • Janson BN, Awad W, Robles J, Kononov J, Pinkerton B (1998) Truck accidents at freeway ramps: data analysis and high-risk site identification. J Transp Stat 1:75–92

    Google Scholar 

  • Kanhere NK, Birchfield ST (2008) Real-time incremental segmentation and tracking of vehicles at low camera angles using stable features. IEEE Trans Intell Transp Syst 9(1):148–160

    Article  Google Scholar 

  • Khoufi I, Laouiti A, Wehbi B (2014) Tar channel access mechanism: a study of a highway ramp car merge case. In: International conference on new technologies, mobility and security, pp 1–5

  • Ki YK, Lee DY (2007) A traffic accident recording and reporting model at intersections. IEEE Trans Intell Transp Syst 8(1):1–7

    Article  MathSciNet  Google Scholar 

  • Laird J, Geers DG (2012) Modeling impact of sensor placement for vision-based traffic monitoring. Transp Res Rec J Transp Res Board 2315:110–120

    Article  Google Scholar 

  • Laird J, Geers DG, Wang Y, Chou CT (2013) Integrating video cameras for alinea on-ramp queue length estimation. In: Proceedings of the 16th international IEEE annual conference on intelligent transportation systems, The Hague, The Netherlands, 6-9 Oct 2013, pp 1571 – 1578

  • Lampropoulos G, Skianis C, Neves P (2010) Optimized fusion of heterogeneous wireless networks based on media independent handover operations. IEEE Wirel CommunMag 17(4):7887

    Google Scholar 

  • Lenz RK, Tsai RY (1998) Techniques for calibration of the scale factor and image center for high accuracy 3d machine vision metrology. IEEE Trans PAMI 10(5):713–720

    Article  Google Scholar 

  • Li Y, Chow A (2015) Optimisation of motorway operations via ramp metering and variable speed limits. Transp Plan Technol 38(1):94–110

    Article  Google Scholar 

  • Li P, Tang H (2013) A low-power vlsi implementation for fast full-search variable block size motion estimation. Int J Electron 100(9):1240–1255

    Article  Google Scholar 

  • Lu XY, Varaiya P, Horowitz R, Su D, Shladover SE (2010) A new approach for combined freeway variable speed limits and coordinated ramp metering. In: 13th international IEEE annual conference on intelligent transportation systems, Madeira Island, Portugal, 19-22 Sept 2010, pp 491–498

  • Luong QT, Faugeras O (1997) Self-calibration of a moving camera from point correspondences and fundamental matrices. Int J Comput Vis 22(3):261–289

    Article  Google Scholar 

  • Martinez FJ (2010) Emergency services in future intelligent transportation systems based on vehicular communication networks. IEEE Intell Transp Syst Mag 2(2):620

    Article  Google Scholar 

  • Medina J, Benekohal R (2016) Microwave radar vehicle detection performance at railroad grade crossings with quad gates in normal and adverse weather conditions. Transp Res Rec J Transp Res Board 2545(2545):123–130

  • Melo J, Naftel A, Bernardino A, Santos-Victor J (2006) Detection and classication of highway lanes using vehicle motion trajectories. IEEE Trans Intell Transp Syst 7(2):188200

    Article  Google Scholar 

  • Muller ER, Carlson RC, Kraus W, Papageorgiou M (2015) Microsimulation analysis of practical aspects of traffic control with variable speed limits. IEEE Trans Intell Transp Syst 16(1):1–12

  • Papageorgiou M, Kotsialos A (2002) Freeway ramp metering: an overview. IEEE Trans Intell Transp Syst 3(4):271–281

    Article  Google Scholar 

  • Papageorgiou M, Papamichail I (2008) Overview of traffic signal operation policies for ramp metering. TRB Transp Res Rec 2047:28–36

    Article  Google Scholar 

  • Park H, Smith BE (2010) Investigating benefits of intelligent-drive in freeway operations—lane changing advisory case study. In: In the 89th annual meeting of the transportation research board, Washington D.C

  • Pollefeys M, Van Gool L, Proesmans M (1998) Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In: Proceeding of International Conference on Computer Vision, pp 90–95

  • Schmid C, Mohr R, Bauckhage C (2000) Evaluation of interest point detectors. Int J Comput Vis 37(20):151–172

  • Shao C, Leng S, Zhang Y, Vinel A (2015) Performance analysis of connectivity probability and connectivity-aware mac protocol design for platoon-based vanets. IEEE Trans Veh Technol 64(12):5596–5609

    Article  Google Scholar 

  • Song H, Lu S, Ma X (2014) Vehicle behavior analysis using target motion trajectories. IEEE Trans Veh Technol 63(8):3580–3591

    Article  Google Scholar 

  • Sultan B, McDonald M, Wu J (2006) The benefit of video detection for onramp queue control and alinea ramp metering strategy. In: Traffic engineering and street management-practical applications of microsimulation

  • Wang Y, E W, Tang W, Tian D, Lu G, Yu G (2013) Automated on-ramp merging control algorithm based on internet-connected vehicles. IET Intell Transp Syst 7(4):371–379

  • Wu J, Jin X, Horowitz AJ (2008) Methodologies for estimating vehicle queue length at metered on-ramps. Transp Res Rec 2047(1):75–82

    Article  Google Scholar 

  • Yi HW, Mulinazzi TE (2007) Urban freeway on-ramps: Invasive influences on main-line operations. Transp Res Rec 2023:112–119

    Article  Google Scholar 

  • Yuan G, Zhang X, Yao QM (2011) Hierarchical and modular surveillance systems in its. IEEE Trans Intell Transp Syst 26(5):10–15

    Google Scholar 

  • Zhang XD, Guo ZY, Gao JP, Jiang R (2006) Safety theory analysis of on-ramp merging area of expressway. J Chong Qing Traffic Inst 25(1):99–103

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the support of the National Natural Science Foundation of China (No. 61572083), the Natural Science Foundation of Shaanxi Province (No.2015JQ6230), and the Special Fund for Basic Scientific Research of Central Colleges (No.310824152009). They furthermore thank the anonymous reviewers for valuable comments

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Correspondence to Hua Cui.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by M. Anisetti.

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Cui, H., Wei, Z., Wang, X. et al. Early ramp warning using vehicle behavior analysis. Soft Comput 22, 1421–1432 (2018). https://doi.org/10.1007/s00500-017-2827-9

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