Abstract

Traffic simulation can help to evaluate the impact of different mobility behaviors on the traffic flow from safety, efficiency, and environmental views. The objective of this paper is to extend the SUMO (Simulation of Urban Mobility) road traffic simulator to model and evaluate the impact of motorcycles mobility on vehicular traffic. First, we go through diverse mobility aspects and models for motorcycles in SUMO. Later, we opt for the most suitable mobility models of motorcycles. Finally, the impact of motorcycle mobility on different kinds of vehicles is investigated in terms of environment, fuel consumption, velocity and travel time. The result of modeling and evaluation shows that based on the mobility model of the motorcycle, vehicular traffic flow can be enhanced or deteriorated.

Highlights

  • There have been many efforts to enhance the mobility modeling of vehicles in order to assess or replicate specific traffic conditions such as jams or crashes

  • The objective of this paper is to extend the SUMO (Simulation of Urban Mobility) road traffic simulator to model and evaluate the impact of motorcycles mobility on vehicular traffic

  • Six scenarios encompassing sublane, lane change, normal, acceleration/deceleration, incident and density for motorcycle mobility are taken into consideration

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Summary

Introduction

There have been many efforts to enhance the mobility modeling of vehicles in order to assess or replicate specific traffic conditions such as jams or crashes. With the advent of intelligent transport systems, numerous novel applications have been proposed concerning vehicular modeling in terms of both individual and overall traffic flow. In this context, due to the growing number of motorcycles in many countries, we must take into account the significance of motorcycles’ and other two wheelers’ role in vehicular mobility. Based on their size and abilities in mobility, motorcycles sometimes do not follow the same physical traffic rules as other vehicles They can accelerate or decelerate faster, maneuver between lanes or in a shared lane, move to adjacent lanes, or even form dense traffic on an unsaturated road. Thereby, they can affect traffic jams, efficiency, safety and congestion [1]

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