Rear-end collision avoidance relies on mathematical models to calculate the safety distance. Vehicle deceleration is a key parameter for the accuracy of the models. Current models, however, assume a constant deceleration during braking, which is unrealistic. This assumption results in large over-approximation / under-approximation. In this paper, we rectify this limitation by proposing a new model that accounts for realistic vehicle deceleration during braking. Simulation results show that our approach guarantees safety. Moreover, traffic flow is improved by 21.6% compared to the widely adopted the Berkeley algorithm.
机构:
Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
Li, Ye
Wang, Hao
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Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
Wang, Hao
Wang, Wei
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Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
Wang, Wei
Xing, Lu
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Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
Xing, Lu
Liu, Shanwen
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Univ N Carolina, Dept City & Reg Planning, New East Bldg, Chapel Hill, NC 27599 USASoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
Liu, Shanwen
Wei, Xueyan
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Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China