Results 321 to 330 of about 23,681,723 (385)
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SAE Technical Paper Series, 2005
<div class="htmlview paragraph">This paper reports a study of road rage in the population of Ontario, Canada. Questions included on road rage behaviour, type of vehicle driven, mileage, amount of driving in congested traffic conditions and the amount of driving seen as stressful. Our focus here was on frequent road ragers.
Reginald G. Smart +3 more
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<div class="htmlview paragraph">This paper reports a study of road rage in the population of Ontario, Canada. Questions included on road rage behaviour, type of vehicle driven, mileage, amount of driving in congested traffic conditions and the amount of driving seen as stressful. Our focus here was on frequent road ragers.
Reginald G. Smart +3 more
openaire +1 more source
Multi-View Vehicle Type Recognition With Feedback-Enhancement Multi-Branch CNNs
IEEE transactions on circuits and systems for video technology (Print), 2019Vehicle type recognition (VTR) is a quite common requirement and one of the key challenges in real surveillance scenarios, such as intelligent traffic and unmanned driving.
Zhi-Bo Chen +4 more
semanticscholar +1 more source
Collection and transport of waste types by compartmentalised vehicles
2020 5th International Conference on Logistics Operations Management (GOL), 2020In this article we discuss the problem of solid waste management using multi-compartment vehicles. Typically, in a city, different sources of waste are dispersed in a heterogeneous way, which increases the cost of collecting and transporting waste. In the waste management system, the municipalities of city have multiple sources; each source creates ...
Bouleft Yousra, Elhilali Alaoui Ahmed
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IEEE transactions on intelligent transportation systems (Print), 2018
Vehicle type recognition from surveillance images represents a challenging task in the domain of intelligent monitoring systems. Recently, deep learning methods have been applied to solve this problem.
Jitian Wang +3 more
semanticscholar +1 more source
Vehicle type recognition from surveillance images represents a challenging task in the domain of intelligent monitoring systems. Recently, deep learning methods have been applied to solve this problem.
Jitian Wang +3 more
semanticscholar +1 more source
Public-transport vehicle scheduling with multi vehicle type
Transportation Research Part C: Emerging Technologies, 2011The public-transport (transit) operation planning process commonly includes four basic activities, usually performed in sequence: (1) network route design, (2) timetable development, (3) vehicle scheduling, and (4) crew scheduling. The purpose of this work is to address the vehicle scheduling problem, while taking into account the association between ...
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Vehicle Type Recognition Based on Radon-CDT Hybrid Transfer Learning
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS), 2019Recognition of vehicle type is an important and challenging tasks. To improve the accuracy and reduce the computational complexity of model for vehicle type recognition, this paper proposes the vehicle type recognition method based on Radon-CDT hybrid ...
Shujuan Guan +3 more
semanticscholar +1 more source
Transportmetrica B: Transport Dynamics, 2018
This paper validates the vehicle type-dependent car-following heterogeneity from micro- and macro-aspects by using Next Generation Simulation (NGSIM) trajectory data. Regarding the micro-viewpoint, traffic conflict analysis techniques and three surrogate
Liang Zheng +4 more
semanticscholar +1 more source
This paper validates the vehicle type-dependent car-following heterogeneity from micro- and macro-aspects by using Next Generation Simulation (NGSIM) trajectory data. Regarding the micro-viewpoint, traffic conflict analysis techniques and three surrogate
Liang Zheng +4 more
semanticscholar +1 more source
The System Vehicle of Application Detector for Categorize Type
2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016The Detection of the vehicles on the road for the classification of the vehicles. The image processing by Blob Analysis for careful all the time, because of safety while driving is important. It's help to reduce accidents on the road, this article presents a program of on-road driving in a vehicle.
Siriruang Phatchuay, Worawut Yimyam
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J. Parallel Distributed Comput., 2018
In this paper, we propose a timetable optimization method based on a Multiobjective Cellular genetic algorithm to tackle the multiple vehicle-type problems. The objective is to determine bus assignment in each time period to optimize a quality of service
D. Peña +8 more
semanticscholar +1 more source
In this paper, we propose a timetable optimization method based on a Multiobjective Cellular genetic algorithm to tackle the multiple vehicle-type problems. The objective is to determine bus assignment in each time period to optimize a quality of service
D. Peña +8 more
semanticscholar +1 more source
STEERING OF TRACK-TYPE VEHICLES
SAE Technical Paper Series, 1953<div class="section abstract"><div class="htmlview paragraph">DURING the period between the two World Wars the track-type vehicle was stimulated into a position of prime importance both in military and civilian applications. This paper reviews the vast strides made in the design of tracks and suspensions, which in turn have led to higher ...
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