000			a
999			_c20422 _d20422
003			OSt
005			20231222095436.0
008			231222b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_922557 _aJayatilleke, Shenura
245			_aIntroduction of a simple estimation method for lane-based queue lengths with lane-changing movements
250			_aVol.104(1), Mar
260			_aUSA _bSpringer _c2023
300			_a143-153p.
520			_aTraffic congestions are increased globally due to rapid urbanization and expedited economic developments in many countries. Vehicle queue is a governing aspect of traffic congestion, studied over the past decades. Most of the existing queue estimation approaches are limited to homogeneous traffic conditions. However, the traffic conditions in many developing countries are heterogeneous and are heavily influenced by mixed vehicle composition, lane changing, and gap-filling behaviours. This study aims to estimate the queue length at signalized intersections having heterogeneous traffic conditions. The heterogeneity was assimilated with the consideration of Passenger Car Units (PCU) in the measurements of the traffic flow and the lane-changing movement within the considered road section. The influential factors of the queue length were contemplated with the arrival flow, discharge flow, outbound lane change, inbound lane change, and signal configuration. A Vector Auto Regression (VAR) model was developed to estimate queue length, with a lag time of 15 s for each variable. The results have indicated a higher accuracy in the queue estimation as well as the practical application for prediction, constituting the traffic characteristics of the formed vehicle queue. The R squared of the VAR model was 0.97, along with a Mean Absolute Percentage Error (MAPE) of 21.55%. The model estimation results of right turning lanes were well accurate with MAPE ranging from 15 to 17%, whilst for through movement lanes, accuracy was slightly low with MAPE in the range of 23–26%. The study manifests the functionality of the developed methodology for accurate queue estimations, asserting the practical applicability of VAR models in other locations constituting mixed traffic.
650		0	_94642 _aHumanities and Applied Sciences
700			_922558 _aWickramasinghe, Vasantha
773	0		_tJournal of the institution of engineers (India): Series A _dSwitzerland Springer _x 2250-2149
856			_uhttps://link.springer.com/article/10.1007/s40030-022-00698-2 _yClick here
942			_2ddc _cAR