Passenger car units and saturation flow models for highly heterogeneous traffic at urban signalised intersections

Radhakrishnan, Padmakumar; Mathew, Tom V.

doi:10.1080/18128600903351001

Cited by 57 publications

(32 citation statements)

References 14 publications

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“…In Asia, many Chinese and Indian cities launched smart cities missions to transform their cities into smarter and citizen-friendly local areas [80][81][82]. For, instance, in Indian cities, the smart systems assess real-time traffic information, particularly for emergency cases [83][84][85][86][87]. Shanghai's smart city mission focused on smart sensors in all buses and metro stations and the development of higher internet connection speeds have allowed increasing the productivity of the city [88,89].…”

Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Bıyık

2019

Energies

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The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

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Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Bıyık

2019

Energies

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“…Indeed, these models usually do not differentiate between driver's behaviour in homogeneous and heterogeneous traffic conditions. However, the recent studies showed that the existence of heavy vehicles (HVs) can significantly influence the traffic stream characteristics (Aghabayk et al 2011;Radhakrishnan and Mathew 2011;Sheu 2013;Aghabayk, Sarvi, and Young 2012). This deficiency in existing models could be exacerbated in near future as the number of HVs and their proportion in traffic stream is growing rapidly (BTRE 2003;NCHRP 2003).…”

Section: Introductionmentioning

confidence: 96%

Attribute selection for modelling driver's car-following behaviour in heterogeneous congested traffic conditions

Aghabayk

Sarvi

Young

2013

Transportmetrica A: Transport Science

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This paper uses a real-world data set to investigate a driver's car-following behaviour of different class of vehicles in congested traffic conditions. The existing car-following models do not explicitly consider heavy vehicle (HV) interactions with the other vehicles. This could become problematic in future due to the increasing proportion of HVs in the traffic stream. Four types of vehicle combinations were considered in this study including car-car, car-HV, HV-car, and HV-HV. The results of detailed data analysis showed that the driver's behaviours differ in each car-following combination. Further the variables which could influence the car-following behaviour in each combination were identified. The potential variables were explored and the effective variables were selected through a combination of advanced statistical analysis. The findings specify that further research is needed to develop a car-following model which incorporates these behavioural differences.

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“…From the literature review, it was found that there are various approaches available for estimation of PCU values for mixed traffic conditions such as time headway method (Saha et al, 2009), simulation method (Arasan and Krishnamurthy, 2008), regression method (Adams et al, 2014), optimization method (Radhakrishnan and Mathew, 2011) and other methods (Shalini and Kumar, 2014). Arasan and Vedagiri (2006) estimated the saturation flow based on classified count and studied the effect of width on saturation flow using a simulation model.…”

Section: Review Of Earlier Studiesmentioning

confidence: 99%

“…Arasan and Vedagiri (2006) estimated the saturation flow based on classified count and studied the effect of width on saturation flow using a simulation model. Radhakrishnan and Mathew (2011) analyzed saturation flow at a microscopic level. In this paper, a new model for saturation flow is developed and PCU values are estimated using the optimization method.…”

Section: Review Of Earlier Studiesmentioning

confidence: 99%

Passenger Car Unit Estimation at Signalized Intersection for Non-lane Based Mixed Traffic Using Microscopic Simulation Model

Asaithambi

Mourie

Sivanandan

2017

Period. Polytech. Transp. Eng.

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Passenger car units and saturation flow models for highly heterogeneous traffic at urban signalised intersections

Cited by 57 publications

References 14 publications

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Attribute selection for modelling driver's car-following behaviour in heterogeneous congested traffic conditions

Passenger Car Unit Estimation at Signalized Intersection for Non-lane Based Mixed Traffic Using Microscopic Simulation Model

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