Estimation of Delay and Fuel Loss during Idling of Vehicles at Signalised Intersection in Ahmedabad

Sekhar, Ch. Ravi; Raj, Pranoy; Parida, Purnima; Gangopadhyay, S

doi:10.1016/j.sbspro.2013.11.214

Cited by 27 publications

(7 citation statements)

References 3 publications

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“…Control delay is a sum of three types of delays (acceleration, stop and deceleration); this is usually measured to analyse the effect of control such as traffic signal. 31 Following the approach used in our previous work, 5 velocitytime plots were drawn for identifying the locations where deceleration and acceleration occurred in the vicinity of a TI (ESI Fig. S1b †).…”

Section: Estimation Of Delay Periods Zoi Rdd Rate and Tting Of Pdfmentioning

confidence: 99%

Concentration dynamics of coarse and fine particulate matter at and around signalised traffic intersections

Kumar

Goel

2016

Environ. Sci.: Processes Impacts

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The understanding of rapidly evolving concentrations of particulate matter (PMC) at signalised traffic intersections (TIs) is limited, but it is important for accurate exposure assessment. We performed "mobile" and "fixed-site" monitoring of size-resolved PMCs in the 0.25-34 μm range at TIs. On-road mobile measurements were made inside a car under five different ventilation settings on a 6 km long round route, passing through 10 different TIs. Fixed-site measurements were conducted at two types (3- and 4-way) of TIs. The aims were to assess the effects of different ventilation settings on in-vehicle PMCs and their comparison during delay conditions at the TIs with those experienced by pedestrians while crossing these TIs. We also estimated the zone of influence (ZoI) for PM10, PM2.5 and PM1 under different driving conditions and fitted the probability distribution functions to fixed-site data to understand the concentration and exposure dynamics of coarse and fine particles around the studied (3- and 4-way) TIs. The fine particles (PM2.5) showed a strong positive exponential correlation with the air exchange rates under different ventilation settings compared with coarse particles (PM2.5-10) showing an opposite trend. This suggested that the ventilation system of the car was relatively more efficient in removing coarse particles from the incoming outside air. On-road median PM10, PM2.5 and PM1 during delays at the TIs were ∼40%, 16% and 17% higher, respectively, compared with free-flow conditions on the rest of the route. About 7% of the average commuting time spent during delay conditions over all the runs at the TIs corresponded to 10, 7 and 8% of the total respiratory deposition dose (RDD) for PM10, PM2.5 and PM1, respectively. The maximum length of the ZoI for PM2.5 and PM1 was highest at the 4-way TI and the maximum length of the ZoI for PM10 was highest at the 3-way TI. The on-road average RDD rate of PM10 inside the cabin when windows were fully open was up to ∼7-times that for pedestrians at the TIs.

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Section: Estimation Of Delay Periods Zoi Rdd Rate and Tting Of Pdfmentioning

confidence: 99%

Concentration dynamics of coarse and fine particulate matter at and around signalised traffic intersections

Kumar

Goel

2016

Environ. Sci.: Processes Impacts

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“…approach, stopped-time, travel-time, time-in-queue and control) that can be measured at a TI serving different purposes in transportation engineering (Darma et al, 2005). Control delay is generally measured to analyse the effect of control such as traffic signal and it is a sum of deceleration, stop and acceleration delays (Sekhar et al, 2013). Velocity-time plots were drawn for identifying the locations where deceleration and acceleration happened in the vicinity of a TI.…”

Section: 5mentioning

confidence: 99%

Characterisation of nanoparticle emissions and exposure at traffic intersections through fast–response mobile and sequential measurements

Goel

Kumar

2015

Atmospheric Environment

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“…The adjusted value of the Multiple Linear Regression Analysis Based Delay Estimation (MuLReD) model was obtained as 0.95; the outcomes it obtained were closer to the field observation values. (Ravisekhar et al, 2013) proposed a methodology for the development, calibration and validation of a micro-simulation model for delays for a 2.9 Km-long stretch. The average error of the Verkehr In Stadten-SIMulationsmodel (VISSIM) model was 4.95%, which was a good fit.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Control Delays at Signalized Intersections in Mixed Traffic Conditions

Sushmitha

Ravishankar

2021

Slovak Journal of Civil Engineering

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Control delay is the key performance indicator of a signalized intersection that defines the level of service. Several models have been developed in previous research work for estimating control delays, but many of them were based on homogeneous traffic conditions. In the present study, an Open Street Map (OSM) tracker mobile application was used to measure control delays from the field. A non-linear model was developed in the present study for estimating control delays in mixed traffic conditions using a MATLAB fitting tool. The field delay is compared with the developed non-linear model delay along with the Indian Highway Capacity manual (INDO HCM) and Highway Capacity Manual (HCM) models. The control delay estimated using the model developed in the present study shows a close relation with the field delay obtained using an OSM tracker when compared to that obtained using the INDO HCM and HCM models. Therefore, the OSM tracker mobile application can be used as a field control delay measuring technique.

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Estimation of Delay and Fuel Loss during Idling of Vehicles at Signalised Intersection in Ahmedabad

Cited by 27 publications

References 3 publications

Concentration dynamics of coarse and fine particulate matter at and around signalised traffic intersections

Concentration dynamics of coarse and fine particulate matter at and around signalised traffic intersections

Characterisation of nanoparticle emissions and exposure at traffic intersections through fast–response mobile and sequential measurements

Measuring Control Delays at Signalized Intersections in Mixed Traffic Conditions

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