Implementing the maximum likelihood methodology to measure a driver's critical gap

Transportation Research Part A: Policy and Practice

Volumn 33, Issue 3-4, 1999, Pages 187-197

  Tian, Zongzhong ^a   Vandehey, Mark ^a   Robinson, Bruce W ^a   Kittelson, Wayne ^a   Kyte, Michael ^b   Troutbeck, Rod ^c   Brilon, Werner ^d   Wu, Ning ^d  

^a Kittelson and Associates Inc   (United States)

^b UNIVERSITY OF IDAHO   (United States)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^d RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

Capacity; Critical gap; Gap event; Maximum likelihood

Indexed keywords

INTERSECTIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION;

CRITICAL GAPS; TWO-WAY STOP-CONTROLLED INTERSECTIONS;

HIGHWAY TRAFFIC CONTROL;

TRAFFIC MANAGEMENT;

EID: 0032599795     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0965-8564(98)00044-5     Document Type: Article

References (4)

1. Brilon, W., 1995. Methods for Measuring Critical Gap. Ruhr-University, Bochum, Germany.
2. Kyte, M., Tian, Z., Mir, Z., Hameedmansoor, Z., Kittelson, W., Vandehey, M., Robinson, B., Brilon, W., Bondzio L., Wu, N., Troutbeck, R., 1996. Capacity and Level of Service at Unsignalized Intersections, Final Report: Volume 1 - Two-Way Stop-Controlled Intersections. National Cooperative Highway Research Program, Project 3-46.
3. Transportation Research Board, 1994. Highway Capacity Manual: Special Report 209, 3rd ed. National Research Council, Washington, DC.
4. Troutbeck, R.J., 1992. Estimating the Critical Acceptance Gap from Traffic Movements. Physical Infrastructure Center Report. Queensland University of Technology, Australia.