8 research outputs found
Carbon dioxide emission trends in cars and light trucks: A comparative analysis of emissions and methodologies for Florida's counties (2000 and 2008)
This paper investigates methodologies to quantify CO2 emissions from cars and light trucks in Florida. The most widely used methodology to calculate greenhouse gas emissions in the transportation sector at the local level uses a harmonic average (HA) methodology based on nationally averaged fuel economies that assume 55% city and 45% highway VMTs. This paper presents a local condition (LC) methodology that accounts for county-level variations in city and highway VMTs, as opposed to assumed uniform driving conditions. Both HA and LC methodologies were used to estimate and compare absolute and per capita CO2 emissions both statewide and counties for 2000 and 2008. From 2000 to 2008, statewide absolute and per capita CO2 emissions increased similarly using HA and LC methodologies; however, the percent change varied considerably among counties. Statewide CO2 emissions calculated from HA and LC methodologies differed by only -0.2% (2000) and 1.7% (2008); however, the differences in the county-level emissions ranged from -8.0% to 14.9% (2000) and from -5.6% to 17.0% (2008). While either the HA or the LC methodology yields a similar result statewide, significant variation exists at the county level, warranting the need to consider local driving conditions when estimating county-level emissions.Greenhouse gas accounting Carbon dioxide emissions On-road transportation
Comparison of Four-Step versus Tour-Based Models for Prediction of Travel Behavior before and after Transportation System Changes
Vehicular Ad-Hoc Network Simulations of Overtaking Maneuvers on Two-Lane Rural Highways
The objective of this paper is to evaluate the effectiveness of a dedicated short-range communication (DSRC)-based wireless vehicle-to-vehicle (V2V) communication system, called the overtaking assistant, devised for improving safety during overtaking (also referred to as passing) maneuvers on two-lane rural highways. Specifically, the paper examines the influence of vehicular kinematics (vehicle speeds, accelerations and distances), driver behavior (drivers’ perception/reaction time and overtaking rate), and DSRC characteristics (power settings, communication range, packet errors, sensor errors, and estimation inaccuracy) on the effectiveness of DSRC systems in predicting unsafe overtaking maneuvers. To this end, the paper utilizes a microscopic traffic simulator called VEhicles In Network Simulation (VEINS) that supports the simulation of wireless communication protocols in Vehicular Ad-hoc NEtworks (VANETs). 18,000 overtaking maneuvers – with roughly 10,000 collision maneuvers – were simulated to consider heterogeneity in vehicular kinematics, driver behavior, and DSRC performance. The overtaking assistant predicts whether a collision will occur and warns the driver before the maneuver begins. A descriptive analysis followed by a multivariate analysis (using binary discrete outcome models) of the simulated data reveals that the majority of collisions that could not be detected were due to the vehicles being out of communication range for the communication power settings used in the simulation. Packet errors, or failed communications, at a rate of up to 50% did not have a significant influence on the ability to detect collisions. These results suggest that the most important step in paving the way toward advanced driver assistance systems for rural highway overtaking maneuvers is to broaden the communication range of DSRC devices.1110sciescopu