MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads

Speed-flow functions have been developed by several transportation experts to predict accurately the speed of urban road networks. HCM Speed-Flow Curve, BPR Curve, MTC Speed-Flow Curve, Akçelik Speed-Flow Curve are some extraordinary efforts to define the shape of speed-flow curves. However, the com...

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Main Authors: Hemant Kumar Sharma, B.L. Swami
Format: Article
Language:English
Published: Elsevier 2012-09-01
Series:International Journal of Transportation Science and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2046043016301642
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spelling doaj-98ca155245ca4e948b49a27381fc46b42020-11-24T23:39:26ZengElsevierInternational Journal of Transportation Science and Technology2046-04302012-09-011328729610.1260/2046-0430.1.3.287MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban RoadsHemant Kumar Sharma0B.L. Swami1Malviya National Institute of Technology, Jaipur- 302 017, IndiaMalviya National Institute of Technology, Jaipur- 302 017, IndiaSpeed-flow functions have been developed by several transportation experts to predict accurately the speed of urban road networks. HCM Speed-Flow Curve, BPR Curve, MTC Speed-Flow Curve, Akçelik Speed-Flow Curve are some extraordinary efforts to define the shape of speed-flow curves. However, the complexity of driver's behaviour, interactions among different type of vehicles, lateral clearance, co-relation of driver's psychology with vehicular characteristics and interdependence of various variables of traffic has led to continuous development and refinement of speed-flow curves. The problem gets more difficult in the case of urban roads with heterogeneous traffic, oversaturated flow and signalized network (which includes some unsignalized intersections as well). This paper presents analysis for various measures of effectiveness (MOE) for urban roads with interrupted flow comprising heterogeneous traffic. Model has been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The model developed in this paper predicts speed, delay, average queue and maximum queue estimates for urban roads and quantifies congestion for oversaturated conditions. The investigation details the oversaturated portion of flow in particular.http://www.sciencedirect.com/science/article/pii/S2046043016301642Density (k)Speed (v)and Flow (q)Oversaturated FlowInterrupted FlowTraffic CongestionIntersectionHeterogeneous TrafficMicroscopic SimulationAverage Delay Time per VehicleAverage SpeedQueue LengthLevel of Service (LOS)
collection DOAJ
language English
format Article
sources DOAJ
author Hemant Kumar Sharma
B.L. Swami
spellingShingle Hemant Kumar Sharma
B.L. Swami
MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
International Journal of Transportation Science and Technology
Density (k)
Speed (v)
and Flow (q)
Oversaturated Flow
Interrupted Flow
Traffic Congestion
Intersection
Heterogeneous Traffic
Microscopic Simulation
Average Delay Time per Vehicle
Average Speed
Queue Length
Level of Service (LOS)
author_facet Hemant Kumar Sharma
B.L. Swami
author_sort Hemant Kumar Sharma
title MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
title_short MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
title_full MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
title_fullStr MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
title_full_unstemmed MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads
title_sort moe-analysis for oversaturated flow with interrupted facility and heterogeneous traffic for urban roads
publisher Elsevier
series International Journal of Transportation Science and Technology
issn 2046-0430
publishDate 2012-09-01
description Speed-flow functions have been developed by several transportation experts to predict accurately the speed of urban road networks. HCM Speed-Flow Curve, BPR Curve, MTC Speed-Flow Curve, Akçelik Speed-Flow Curve are some extraordinary efforts to define the shape of speed-flow curves. However, the complexity of driver's behaviour, interactions among different type of vehicles, lateral clearance, co-relation of driver's psychology with vehicular characteristics and interdependence of various variables of traffic has led to continuous development and refinement of speed-flow curves. The problem gets more difficult in the case of urban roads with heterogeneous traffic, oversaturated flow and signalized network (which includes some unsignalized intersections as well). This paper presents analysis for various measures of effectiveness (MOE) for urban roads with interrupted flow comprising heterogeneous traffic. Model has been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The model developed in this paper predicts speed, delay, average queue and maximum queue estimates for urban roads and quantifies congestion for oversaturated conditions. The investigation details the oversaturated portion of flow in particular.
topic Density (k)
Speed (v)
and Flow (q)
Oversaturated Flow
Interrupted Flow
Traffic Congestion
Intersection
Heterogeneous Traffic
Microscopic Simulation
Average Delay Time per Vehicle
Average Speed
Queue Length
Level of Service (LOS)
url http://www.sciencedirect.com/science/article/pii/S2046043016301642
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