Impact of Urban Arterial Traffic LOS on the Vehicle Density of Different Lanes of the Arterial in Proximity of an Unsignalized Intersection for Autonomous Vehicle vs. Conventional Vehicle Environments

2019 ◽  
Author(s):  
Seyedeh Maryam Mousavi ◽  
Osama A. Osman ◽  
Dominique Lord
Keyword(s):  
Autonomous Vehicle ◽  
Conventional Vehicle ◽  
Vehicle Density ◽  
Arterial Traffic ◽  
Urban Arterial

scholarly journals Vehicle-Assisted Techniques for Health Monitoring of Bridges

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3460 ◽  
Author(s):  
Hoofar Shokravi ◽  
Hooman Shokravi ◽  
Norhisham Bakhary ◽  
Mahshid Heidarrezaei ◽  
Seyed Saeid Rahimian Koloor ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Autonomous Vehicle ◽  
Highway Bridges ◽  
Traffic Load ◽  
Monitoring Methods ◽  
Conventional Vehicle ◽  
Weigh In Motion ◽  
Moving Vehicles ◽  
Existing Bridges ◽  
Future Work

Bridges are designed to withstand different types of loads, including dead, live, environmental, and occasional loads during their service period. Moving vehicles are the main source of the applied live load on bridges. The applied load to highway bridges depends on several traffic parameters such as weight of vehicles, axle load, configuration of axles, position of vehicles on the bridge, number of vehicles, direction, and vehicle’s speed. The estimation of traffic loadings on bridges are generally notional and, consequently, can be excessively conservative. Hence, accurate prediction of the in-service performance of a bridge structure is very desirable and great savings can be achieved through the accurate assessment of the applied traffic load in existing bridges. In this paper, a review is conducted on conventional vehicle-based health monitoring methods used for bridges. Vision-based, weigh in motion (WIM), bridge weigh in motion (BWIM), drive-by and vehicle bridge interaction (VBI)-based models are the methods that are generally used in the structural health monitoring (SHM) of bridges. The performance of vehicle-assisted methods is studied and suggestions for future work in this area are addressed, including alleviating the downsides of each approach to disentangle the complexities, and adopting intelligent and autonomous vehicle-assisted methods for health monitoring of bridges.

Modeling and Simulation of Urban Arterial Traffic Signal Coordinated Control

2014 ◽  
Vol 543-547 ◽  
pp. 1417-1422
Author(s):  
Wei Li ◽  
Xin Bi ◽  
Yun Xia Cao ◽  
Jin Song Du
Keyword(s):  
Traffic Congestion ◽  
Control Method ◽  
Coordinated Control ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Monitoring And Control ◽  
Total Delay ◽  
Arterial Traffic ◽  
Urban Arterial

Traffic congestion is a major concern for many cities throughout the world. Developing a sophisticated traffic monitoring and control system would result in an effective solution to this problem. In order to reduce traffic delay, a novel urban arterial traffic signal coordinated control method is presented. The total delay of downstream and upstream vehicles is considered and the function describing the relationship between vehicles delay and signal offset among intersections is established. Finally, comparing the performance of traffic signal under method proposed in this paper with the traditional isolated traffic signal control method, the microscopic simulation results show that the method proposed in this paper has better performance in the aspect of reducing the vehicles delay. The offset model is tested in a simulation environment consisting of a core area of three intersections. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated intersection control strategy.

scholarly journals Autonomous Vehicle Density-based Traffic Control System

2018 ◽  
Vol 182 (4) ◽  
pp. 9-13
Author(s):  
Benjamin Kommey ◽  
Seth Djanie ◽  
Andrew Selasi
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Autonomous Vehicle ◽  
Vehicle Density ◽  
Traffic Control System

scholarly journals STUDI ANALISIS PERKEMBANGAN TEKNOLOGI DAN DUKUNGAN PEMERINTAH INDONESIA TERKAIT MOBIL LISTRIK

2020 ◽  
Vol 22 (1) ◽  
pp. 45
Author(s):  
Mochammad Aziz ◽  
Yosua Marcellino ◽  
Intan Agnita Rizki ◽  
Sri Anwar Ikhwanuddin ◽  
Joni Welman Simatupang
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
Technology Development ◽  
Motor Vehicle ◽  
Autonomous Vehicle ◽  
Well Being ◽  
Exhaust Gas ◽  
Negative Effects ◽  
Conventional Vehicle ◽  
Indonesian Government

: Indonesia's population growth is still ongoing and energy demand for transportation continues to increase from year to year. Moreover, the use of fossil fueled-based motor vehicle is increasing and filling the city main roads and highways. Petroleum which is used as conventional vehicle fuel today is a non-renewable energy. Electric vehicle is one of the means of transportation that can meet the needs of the society mobility, but still environmentally friendly because it does not have exhaust gas or emissions. There are so many negative effects from exhaust gas or emissions resulting from combustion of conventional car engines. Among other negative impacts are on health and human well-being and also the environment. The Indonesian government plans seriously in realizing the conversion of electric-based vehicles (EV). However, many people do not know the technology used in the electric vehicle yet. In this descriptive-explanatory paper, we will discuss this technology development and types of electric vehicle in general, and also a bit of autonomous vehicle. In addition, it was also discussed regarding the support of the Indonesian government for public concerns about the lack of facilities for electric vehicle such as public charging facilities. In addition, support for policies and other incentive will also be elaborated in this paper. This policies and incentive are expected to have a significant impact in-line with the increasing of consumer awareness to switch from conventional cars to electric vehicles.ABSTRAK:Pertumbuhan penduduk Indonesia masih terus berlangsung dan kebutuhan energi untuk transportasi terus meningkat dari tahun ke tahun. Terlebih penggunaan kendaraan bermotor berbahan bakar fosil (fossil fueled-based motor vehicle) semakin meningkat dan memenuhi jalan-jalan raya perkotaan dan tol. Minyak bumi yang digunakan sebagai bahan bakar mobil konvensional saat ini merupakan energi yang tidak terbarukan. Mobil listrik merupakan salah satu sarana transportasi yang bisa memenuhi kebutuhan mobilitas masyarakat namun tetap ramah lingkungan karena tidak memiliki polusi atau emisi gas buang. Banyak sekali dampak negatif dari polusi atau emisi gas buang yang dihasilkan dari pembakaran mesin mobil konvensional. Antara lain dampak negatif terhadap kesehatan dan kesejahteraan manusia serta lingkungan hidup. Pemerintah Indonesia berencana serius dalam mewujudkan konversi kendaraan berbasis listrik (KBL). Namun masyarakat belum mengetahui teknologi yang digunakan pada mobil listrik. Dalam tulisan yang bersifat descriptive- explanatory ini akan dibahas mengenai perkembangan teknologi mobil listrik ditambah sedikit tentang kendaraan otomatis (autonomous vehicle). Selain itu juga akan membahas dukungan pemerintah Indonesia terhadap mobil listrik sebagai solusi bagi kekuatiran masyarakat mengingat fasilitas pengisian umum yang masih minim atas kendaraan mobil listrik. Selain itu dukungan terhadap kebijakan dan insentif lainnya pun juga akan dibahas dalam artikel ini. Kebijakan dan insentif ini diharapkan bisa berdampak signifikan sejalan dengan meningkatnya kesadaran konsumen untuk beralih dari mobil konvensional menjadi mobil listrik

scholarly journals Shared Autonomous Vehicles Effect on Vehicle-Km Traveled and Average Trip Duration

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ana T. Moreno ◽  
Andrzej Michalski ◽  
Carlos Llorca ◽  
Rolf Moeckel
Keyword(s):  
Metropolitan Area ◽  
Autonomous Vehicles ◽  
Online Survey ◽  
Travel Demand ◽  
Stated Preference ◽  
Autonomous Vehicle ◽  
Trip Duration ◽  
Conventional Vehicle ◽  
Willingness To Use ◽  
The Impact

Intermediate modes of transport, such as shared vehicles or ride sharing, are starting to increase their market share at the expense of traditional modes of car, public transport, and taxi. In the advent of autonomous vehicles, single occupancy shared vehicles are expected to substitute at least in part private conventional vehicle trips. The objective of this paper is to estimate the impact of shared autonomous vehicles on average trip duration and vehicle-km traveled in a large metropolitan area. A stated preference online survey was designed to gather data on the willingness to use shared autonomous vehicles. Then, commute trips and home-based other trips were generated microscopically for a synthetic population in the greater Munich metropolitan area. Individuals who traveled by auto were selected to switch from a conventional vehicle to a shared autonomous vehicle subject to their willingness to use them. The effect of shared autonomous vehicles on urban mobility was assessed through traffic simulations in MATSim with a varying autonomous taxi fleet size. The results indicated that the total traveled distance increased by up to 8% after autonomous fleets were introduced. Current travel demand can still be satisfied with an acceptable waiting time when 10 conventional vehicles are replaced with 4 shared autonomous vehicles.

scholarly journals Opportunities and Challenges of Machine Vision for Navigation and Obstacle Detection in Autonomous Ground Vehicles

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1598-1601
Keyword(s):  
Machine Vision ◽  
Object Detection ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Obstacle Detection ◽  
Conventional Vehicle ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Autonomous Cars

Autonomous vehicles are the future of transport and also it is expected to become a fully-fledged reality within a decade. All the major giants in the automotive industry are hard pressing their transition from conventional vehicle to autonomous vehicles. The state of Karnataka, for instance, had approximately 205,200 registered taxis higher than Madhya Pradesh 174,900 registered cabs from 2014 to 2015. This presents a great deal of opportunities for autonomous cars and need for technologies. Autonomous cars reduces the accidents rate, stress free parking, saves time, reduces traffic congestion, improve fuel economy etc. It is so sophisticated to the level of easy prediction of physical objects, behavioural elements such as driving speed limits and driving rules between the physical world and its map. Autonomous vehicle have grown to an extent of updating its own information and also based on the cloud, benefitting the systems of all other cars on the network. Machine vision is the most crucial aspect which gives the autonomous vehicles the knowledge of its surrounding. This paper deals with the different approaches of machine vision that helps the vehicle in lane and obstacle detections. Few methods of obstacle detection like Single Object Detection and tracking (SODT) and Multiple Object Detection and tracking (MODT) are compared and contrasted in this paper. Despite the enormous advantages, there are still some challenges of autonomous which needs to be addressed. The challenges that the field will face, especially in relevance with India, along with the suggestion for improvement is also discussed.

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