Estimation of Saturation Flow Rates at Signalized Intersections

Shao, Chunli; Liu, Xiaoming

doi:10.1155/2012/720474

Cited by 30 publications

(29 citation statements)

References 14 publications

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“…One more study [11], observed that regression model developed to estimate saturation flow showed good correlation with field value. Study [12], conducted at Beijing revealed that for different signalized intersections, the queue discharge headway distribution are often not identical.…”

Section: Study Of Saturation Flow Rate Of Signalized Intersectionsmentioning

confidence: 99%

Study on Geometric Factors Influencing Saturation Flow Rate at Signalized Intersections under Heterogeneous Traffic Conditions

Savitha¹,

Murthy²,

Jagadeesh³

et al. 2017

JTTs

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The main objective of intersection design is to facilitate the convenience, comfort, and safety of people traversing the intersection by enhancing the efficient movement of road users. The intersections on urban roads in India generally cater to heterogeneous motorized traffic, along with slow-moving traffic including pedestrians. It is therefore necessary to consider saturation flow for mixed traffic conditions to evaluate the overall operation of signalized intersections. A proper traffic model must consider varying characteristics of all the road users to effectively design and efficiently manage signalized intersections. This paper presents the results of the study on analyses of saturation flow rate conducted at signalized intersections with mixed traffic conditions in the city of Bangalore, India. Studies were carried out at 15 signalized intersections in the city of Bangalore with varying geometric factors such as width of road (w), gradient of the road (g), and turning radius (r) for right turning vehicles. Saturation flow rate computed as per Highway Capacity manual (HCM: 2000), Indonesian highway capacity manual (IHCM), and IRC SP: 41-1994 was compared with the field observations. The geometric factors, which affect the saturation flow, have been considered in this study and accordingly a new model has been proposed for determining saturation flow. It has been shown that by the introduction of the suggested adjustment factors in this paper, the saturation flow rate can give better picture of the field conditions, especially under heterogeneous traffic conditions of an urban area.

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Section: Study Of Saturation Flow Rate Of Signalized Intersectionsmentioning

confidence: 99%

Study on Geometric Factors Influencing Saturation Flow Rate at Signalized Intersections under Heterogeneous Traffic Conditions

Savitha¹,

Murthy²,

Jagadeesh³

et al. 2017

JTTs

View full text Add to dashboard Cite

show abstract

“…To determine the number of vehicles that can be dispatched in a given green time interval, we make use of saturation headway [49]. When the traffic light for a lane turns from red to green, the leading vehicle takes a longer time (h 1 ) to react to the change in traffic lights.…”

Section: Traffic Modelmentioning

confidence: 99%

A Real-Time Server Based Approach for Safe and Timely Intersection Crossings

Oza

Chantem

2019

2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

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Safe and efficient traffic control remains a challenging task with the continued increase in the number of vehicles, especially in urban areas. This manuscript focuses on traffic control at intersections, since urban roads with closely spaced intersections are often prone to queue spillbacks, which disrupt traffic flows across the entire network and increase congestion.While various intelligent traffic control solutions exist for autonomous systems, they are not applicable to or ineffective against human-operated vehicles or mixed traffic. On the other hand, existing approaches to manage intersections with human-operated vehicles, cannot adequately adjust to dynamic traffic conditions. This manuscript presents a technologyagnostic adaptive real-time server based approach to dynamically determine signal timings at an intersection based on changing traffic conditions and queue lengths (i.e., wait times) to minimize, if not eliminate, spillbacks without unnecessarily increasing delays associated with intersection crossings. We also provide timeliness guarantee bounds by analyzing the travel time delays, hence making our approach more dependable and predictable. The proposed approach was validated in simulations and on a realistic hardware testbed with robots mimicking human driving behaviors. Compared to the pre-timed traffic control and an adaptive scheduling based traffic control, our algorithm is able to avoid spillbacks under highly dynamic traffic conditions and improve the average crossing delay in most cases by 10-50%. (GENERAL AUDIENCE ABSTRACT)Safe and efficient traffic control remains a challenging task with the continued increase in the number of vehicles, especially in urban areas. This manuscript focuses on traffic control at intersections, since urban roads with closely spaced intersections are often prone to congestion that blocks other intersection upstream, which disrupt traffic flows across the entire network. While various intelligent traffic control solutions exist for autonomous systems, they are not applicable to or ineffective against human-operated vehicles or mixed traffic. On the other hand, existing approaches to manage intersections with human-operated vehicles, cannot adequately adjust to dynamic traffic conditions. This work presents a technologyagnostic adaptive approach to dynamically determine signal timings at an intersection based on changing traffic conditions and queue lengths (i.e., wait times) to minimize, if not eliminate, spillbacks without unnecessarily increasing delays associated with intersection crossings. We also provide theoretical bounds to guarantee the performance of our approach in terms of the travel delays that may incur on the vehicles in the system, hence making our approach more dependable and predictable. The proposed approach was validated in simulations and on a realistic hardware testbed which uses robots to mimic human driving behaviour in an urban environment. Comparisons with widely deployed and state-of-the-art traffic control techniques show that our ...

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“…Three categories of vehicle and nine types of headways were considered with the possible combination followed by linearly regressed saturation f low model. (Shao and Liu, 2012) studied stochastic nature of queue discharge headways. In their study, Distribution characteristics of headways were not considered and there was no consistency between both distributions applied to the headways (at 95% significance level).…”

Section: Saturation Flow Modelsmentioning

confidence: 99%

Field Saturation Flow Measurement Using Dynamic Passenger Car Unit Under Mixed Traffic Condition

Majhi¹

2017

IJTTE

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Saturation flow is a very important input variable for the design of signalized intersections. Saturation flow measurement is well established for homogeneous traffic. However, saturation flow measurement and modeling is a challenging task in heterogeneous characterized by multiple vehicle types and non-lane based movement. Present study focuses on proposing a field procedure for Saturation flow measurement and the effect of typical mixed traffic behavior at the signal as far as non-lane based traffic movement is concerned. Data collected during peak and off-peak hour from five intersections with varying approach width is used for validating the saturation flow model. The insights from the study can be used for modeling saturation flow and delay at signalized intersection in heterogeneous traffic conditions.

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Estimation of Saturation Flow Rates at Signalized Intersections

Cited by 30 publications

References 14 publications

Study on Geometric Factors Influencing Saturation Flow Rate at Signalized Intersections under Heterogeneous Traffic Conditions

Study on Geometric Factors Influencing Saturation Flow Rate at Signalized Intersections under Heterogeneous Traffic Conditions

A Real-Time Server Based Approach for Safe and Timely Intersection Crossings

Field Saturation Flow Measurement Using Dynamic Passenger Car Unit Under Mixed Traffic Condition

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