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Enhancing driver’s attention and overtaking efficiency in car-following model for Advanced Driver Assistance Systems (ADAS) vehicles

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  • Siwach, Vikash
  • Yadav, Darshana
  • Redhu, Poonam

Abstract

In the contemporary technological landscape, vehicles equipped with Advanced Driver Assistance Systems (ADAS) are expected to significantly enhance current transportation systems’ efficiency and traffic capacity. The efficiency of ADAS vehicles to have forward and backward headway is utilized in deciding a vehicle’s optimal velocity and acceleration at any time. The comprehension of nearby vehicle information plays a crucial role in anticipating traffic flow behavior, with particular effectiveness observed during overtaking maneuvers.

Suggested Citation

  • Siwach, Vikash & Yadav, Darshana & Redhu, Poonam, 2025. "Enhancing driver’s attention and overtaking efficiency in car-following model for Advanced Driver Assistance Systems (ADAS) vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).
    • Handle: RePEc:eee:phsmap:v:657:y:2025:i:c:s0378437124007167
    DOI: 10.1016/j.physa.2024.130207
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    Cited by:

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    2. Peng, Guanghan & Wang, Keke & Tan, Huili & Zhou, Tong, 2025. "Jamming transition in car-following model with electronic throttles incorporating continuous memory capabilities to mitigate cyber-attacks within a connected vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 198(C).
    3. Redhu, Poonam & Mehta, Shubham, 2025. "Exploring visibility effects with flux variations under autonomous and human-driven vehicles environment in heterogeneous lattice model," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
    4. Zhai, Cong & Wu, Weitiao & Xiao, Yingping & Zhang, Jiyong & Zhai, Min, 2025. "Jam traffic pattern of a multi-phase lattice hydrodynamic model integrating a continuous self-stabilizing control protocol to boycott the malicious cyber-attacks," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
    5. Tang, Yi & Zhai, Cong & Xiao, Yingping & Zhai, Min & Zhang, Jiyong, 2025. "Effect of malicious cyber-attack on jamming transition in a multi-phase mixed flow model under regular vehicles and connected vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    6. Yadav, Darshana & Siwach, Vikash & Redhu, Poonam, 2025. "The interplay of passing, driver attention, and cyber attack-induced information delays on traffic stability," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    7. Zhao, Hongzhuan & Tang, Yijie & Wang, Yichen & Yuan, Quan & Wang, Tao & Zhou, Dan & Zhang, Yicai & Yang, Liangyi & Xu, Qi & Nong, LiQiao, 2025. "A lattice model of mixed traffic flow based on critical safety potential field and driver vigilance feedback: Numerical simulation of critical safety potential field fluctuations characterizing the ef," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    8. Peng, Guanghan & Wang, Keke & Tan, Huili & Huang, Darong, 2025. "Jamming transition of connected vehicles platform integrating speed change memory information to counteract cyber-attacks on slope lane," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    9. Zhou, Tong & Tian, Yudan & Zhu, Meilan & Peng, Guanghan, 2025. "Phase transitions and spectrum evaluation in mixed traffic model concerned with Interruption Probability Effect under CAVs and HDVs surroundings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
    10. Jin, Can & Qing, Li & Zhu, Meilan & Peng, Guanghan, 2025. "Phase transitions and spectral entropy of heterogeneous vehicles comprised of CAVs and HDVs in flux restriction scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).

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