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This paper presents a model to estimate travel time using cumulative plots. Three\uddifferent cases considered are i) case-Det, for only detector data; ii) case-DetSig,\udfor detector data and signal controller data and iii) case-DetSigSFR: for detector\uddata, signal controller data and saturation flow rate. The performance of the\udmodel for different detection intervals is evaluated. It is observed that detection\udinterval is not critical if signal timings are available. Comparable accuracy can\udbe obtained from larger detection interval with signal timings or from shorter\uddetection interval without signal timings. The performance for case-DetSig and\udfor case-DetSigSFR is consistent with accuracy generally more than 95%\udwhereas, case-Det is highly sensitive to the signal phases in the detection interval\udand its performance is uncertain if detection interval is integral multiple of signal\udcycles

Urban network travel time estimation from stop-line loop detector data and signal controller data