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Journal ArticleDOI

Study of traffic flow characteristics using different vehicle-following models under mixed traffic conditions

TLDR
The performance of different vehicle-following models was evaluated based on different Measure of Effectiveness (MoE) using field data collected from a four-lane divided urban arterial road in Chennai city and the results showed the promise of some measures based on vehicle class.
Abstract
To understand the congestion problem and the occurrence of bottlenecks and to formulate solutions for it, a thorough study of vehicle-to-vehicle interactions is necessary. Car-following models replicate the behavior of a driver following another vehicle. These models are widely used in the development of traffic simulation models, and in analysis of safety and capacity. In India, traffic on roads is mixed in nature with wide variations in physical dimensions and other vehicular and traffic characteristics with loose lane discipline. In mixed traffic conditions, leader-follower vehicle types are not only car–car cases but also there are different combinations of vehicles (e.g. car-two wheeler, two wheeler-auto rickshaw, and heavy vehicle-two wheeler). The present study focuses on evaluation of different vehicle-following models under mixed traffic conditions. The car-following models such as Gipps, Intelligent Driver Model (IDM), Krauss Model and Das and Asundi were selected for this study. These m...

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Transport processes on networked topologies

TL;DR: In this article, the authors consider a particle whose position evolves along the edges of a network and demonstrate that confinement to a network can induce a transition in the mean squared displacement from diffusive to ballistic behaviour, and derive a macroscopic evolution equation for the displacement of a particle and uncover a topological condition for whether this transition will occur.
Proceedings ArticleDOI

Traffic-Aware Beacon Interval for Position-Based Protocols in VANETs

TL;DR: In this article , the authors proposed an adaptive vehicular traffic-aware strategy to compute the beacon interval in a position-based protocol, which relies on three mobility factors: vehicular density, the mean difference of speed among neighbors, and the spatial distribution of neighbors.
Journal ArticleDOI

Development of lane change models through microscopic simulation under mixed traffic

Srikanth Seelam, +1 more
- 30 May 2022 - 
TL;DR: In this article , the authors estimate the number of lane changes by simulating them at different volume levels and show the capacity estimate and its relationship with the lane change, and the maximum traffic flow and lane changes were calculated based on the proportions of each vehicle type in the standard car traffic flow.
References
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Journal ArticleDOI

Congested traffic states in empirical observations and microscopic simulations

TL;DR: It is shown that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way, and a local drop of the road capacity induced by parameter variations has essentially the same effect as an on-ramp.
Journal ArticleDOI

Dynamical model of traffic congestion and numerical simulation

TL;DR: In this model, the legal velocity function is introduced, which is a function of the headway of the preceding vehicle, and the evolution of traffic congestion is observed with the development of time.
Journal ArticleDOI

A behavioural car-following model for computer simulation

TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI

Nonlinear Follow-the-Leader Models of Traffic Flow

TL;DR: A variety of nonlinear follow-the-leader models of traffic flow are discussed in this article in the light of available observational and experimental data, with emphasis placed on steady-state flow equations.
Journal ArticleDOI

Traffic Dynamics: Studies in Car Following

TL;DR: In this paper, the acceleration at time t of a car attempting to follow a leader is proportional to the difference in velocity of the two cars at a time t-Δ, Δ being about 1.5 sec and the proportionality constant being about 0.37 sec-1.
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