This paper presents an investigation on the adequacy of one of the major performance indicators for two-lane highways, the percent-time-spent-following (PTSF) under changing driver's behavior in choosing headways. Field study was conducted on a two-lane highway in India that exhibits heterogeneity in its traffic composition and a wide range of flow levels was covered while collecting data. The appropriate headway distributions were selected based on goodness-of-fit test. Exponential or Erlang distributions exhibit their aptness in describing headways up to a volume to capacity ratio of 0.3 and gamma and exponential distributions were compatible for headway data corresponding to a volume to capacity ratio of 0.4 and above. Around 40% drivers were observed to adopt headways 2 s or less at heavy flow when a car-following situation prevails; these headways are considered unsafe in several instances. Further, speed-headway relationships were established to assess a headway threshold beyond which vehicles could be considered free. Empirical investigation indicates a value of about 6 s under such traffic unlike 3 s as considered in PTSF estimation. Another major implication on PTSF is a few drivers move in a platoon by choice even if they have a gap of more than 6 s and passing opportunities.
机构:
Royal Inst Technol KTH, Dept Transport & Econ, SE-10044 Stockholm, SwedenRoyal Inst Technol KTH, Dept Transport & Econ, SE-10044 Stockholm, Sweden
Farah, Haneen
Toledo, Tomer
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Technion Israel Inst Technol, Fac Civil & Environm Engn, IL-32000 Haifa, IsraelRoyal Inst Technol KTH, Dept Transport & Econ, SE-10044 Stockholm, Sweden
机构:
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, Naples,80125, ItalyDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, Naples,80125, Italy
Imbriani, L.L.
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Mauriello, F.
Pernetti, M.
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Second University of Naples, ItalyDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, Naples,80125, Italy
Pernetti, M.
Advances in Transportation Studies,
2014,
34
: 91
-
104
机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R China
Liu, Huaqing
Jiang, Rui
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Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R China