Calibration and validation of and results from a micro-simulation model to explore drivers’ actual use of acceleration lanes

Cantisani, Giuseppe; Serrone, Giulia Del; Biagio, Giorgia Di

doi:10.1016/j.simpat.2018.09.007

Cited by 20 publications

(14 citation statements)

References 24 publications

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“…• Type 3 (eco-drivers) where the deceleration varies from 0.3 to 0.4m/s 2 following the study [23], • Type 4 (combination of all types (30% of type 1, 40% type 2, 30%type 3)) in accordance to their manoeuvre distance. Figure 4 illustrates the behavior of two types of non ecodriver in comparison with the trajectory of an idealized eco-driver while approaching a speed sectioning.…”

Section: Drivers Modelingmentioning

confidence: 99%

Vehicle energy savings by optimizing road speed-sectioning

Coiret

Deljanin

Vandanjon

2020

Eur. Transp. Res. Rev.

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In a context of decreasing resources and of climate change, lowering road vehicles consumption is a key point to meet CO 2 reduction requirements. In addition to car technological advances, eco-driving is part of the solution but the road infrastructure should ensure its development. This work aims to demonstrate that road energy demand and associated pollutant emissions can be reduced by working out minor optimization of road infrastructure itself. For this to happen, a simple eco-driving potential criterion is built upon infrastructure parameters such as slopes and sight distances. This criterion aims to detect Misplaced Speed-sectioning Positions (MSP) with regard to the Starting Point of Deceleration (SPD); with speed-sectioning being the succession of speed changes along a given route. An enhanced energy waste formulation is then developed to quantify the vehicles energy waste due to misplaced roadsigns. Thirdly, a traffic simulation constitutes a framework for energy evaluation; considering a full flow of vehicles, based on real traffic data, and by modeling several driver behaviors. Simulation results show that a significant fuel reduction of up to 5.5% can be achieved locally, simply by moving a road sign, for rural areas and without degrading road safety.

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Section: Drivers Modelingmentioning

confidence: 99%

Vehicle energy savings by optimizing road speed-sectioning

Coiret

Deljanin

Vandanjon

2020

Eur. Transp. Res. Rev.

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“…Source: [2] Acceleration lane length is adopted based on design recommendations [2,13,16]. The rapid development of the automotive industry and the introduction of new transport technologies require analysis and innovation of existing design recommendations in line with new traffic requirements [1,3,8,10]. Recommended acceleration lane lengths have not been updated since the 1950s.…”

Section: Figure 1: Acceleration Lanementioning

confidence: 99%

“…Simulation traffic models have the challenging task of modelling a complex stochastic system, such as a traffic system. In addition to the physical part of the system that relates to the geometric characteristics of the infrastructure and which can be mathematically described, it is also necessary to simulate its operationalization, traffic flow [7,11,23], which is influenced by variable human behaviour [3,4,9,11,17]. The application of different simulation models must be considered in the context of temporal and spatial reach, as they have been developed for specific types of traffic analyses and are intended for making different decisions [4,5,6].…”

Section: Figure 1: Acceleration Lanementioning

confidence: 99%

“…The complexity of the merging of traffic flows requires proper geometric design [2,13] that must allow for safe and undisturbed interweaving of secondary and main traffic flows. Due to increased traffic demand, changed traffic flow structure, the relevant vehicle performance, possibility of introducing intelligent transport system (ITS) technologies into the transport system, increasing the efficiency and safety of the inflow manoeuvre, the acceleration lane length is the subject of new research and numerous case studies in real traffic conditions [1,3,8,10,11,21,22].…”

Section: Introductionmentioning

confidence: 99%

“…Simulation models are used to optimize elements of the transport infrastructure that cannot be performed on a real system for functional and safety reasons [3,15,23]. Different types of models are intended for different traffic analyses [6], and microsimulations are most commonly used to optimize elements of the transport infrastructure.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Urban Highway Acceleration Lane Length Using Traffic Simulations

Zrakić,

Ištoka Otković

2019

JMTS

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Design recommendations for the acceleration lane length are based on research and monitoring data made decades ago and have recently been the subject of discussions and innovations. Designing a highway acceleration lane differs between urban and non-urban areas by a large number of parameters. Specificities of an urban space, multimodal demands of traffic users, environmental requirements and inherited spatial relationships make optimization of the acceleration lane length a real challenge. The development of analytical, analytical-empirical and simulation methods for evaluating design solutions is generated by the desire to make the analyses performed in the planning phase as realistic as possible. Microsimulation traffic tools, such as VISSIM, enable the analysis of variant solutions and the optimization of road design elements for existing as well as for future traffic demands. This paper presents an analysis of two existing acceleration lanes on the southern bypass of the city of Osijek. Microsimulation results show that there is a potential for shortening the length of acceleration lanes in the current traffic demand conditions. Various scenarios of the increase in traffic of the main and secondary traffic flows have been analysed. The results were evaluated through the criteria of selected functional indicators, which are average delays and queue lengths. This research contributes to the methodology of applying modern simulation tools in the analysis and optimization of traffic infrastructure elements in local conditions.

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