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Trafïîc congestion is a serious global problem. Enhanced or deep Q learning algorithms were applied to a traffic simulation study. The enhanced Q learning was based on a repeated local search algorithm, and it was able to find optimal pathways under a multi-agent system. Deep Q learning was also capable of learning a suitable strategy, considering dynamic changes in traffic circumstances at a highway...
Vehicles have become a daily needs for all of us and it is normal that every family is having at least one vehicle at their home. This leads to the increased of accidents and vehicular ad hoc network (VANET) is an approach invented to tackle with this problem. In order to study the algorithm in VANET, a mobility simulator is needed for simulation. SUMO is proved to be a good simulation tool for VANET...
This paper aims to provide an image on the usability of low power, short distance standard communications technologies for specific applications, like messaging, in cooperative collision avoidance or emergency vehicles guidance. Specific measurements regarding communications interferences and density have been performed in representative road junctions in Bucharest and the results were used to determine...
Short time traffic forecasting is the prediction of traffic parameters like traffic flow into the future to avoid congestions and accidents. A variety of short-time traffic flow forecasting methods have been developed in the last two decades but most of the literatures focus on predicting traffic flow on a single road, not on junctions. However, Junctions are responsible for 80–90% of congestion and...
Despite the significant research efforts and resources spent to alleviate the impact of road traffic congestion on economy, environment and road safety, it is still one of the major unsolved problems of the 21st century. The emergence of smart self-driving vehicles promises a dramatic change in the way road traffic congestion is controlled and mitigated. This can be achieved by enabling efficient...
Traffic Control has been a major problem in most of the cities. A most commonly experienced situation is that even when there are no more vehicles in the road currently under green light, the green light continues until its counter is over, thereby making unnecessary wait for the people in other roads of the junction. This paper presents an idea of a traffic control light system which can adapt to...
Today, most traffic management systems regulate vehicular traffic using signalling devices that let vehicles on each lane pass after fixed predefined intervals. The emergence of autonomous vehicles and IoT based intelligent vehicular networks has created an opportunity to develop an efficient traffic scheduling algorithm that eliminates the need for traffic signals. There is now a possibility of a...
The traditional closed area of community has a certain impact on the existing traffic situation. In this paper, the impact on the problem of the opening and the passage of the road is studied. By establishing the maximum flow model of traffic network and the model of the "flow - density" models to explore the influence of community opening on the surrounding road traffic, it is found that...
Real time road traffic update is highly desirable for city dwellers, commuters, tourists and travelers. In this paper, we propose a novel methodology for estimating traffic conditions at road intersections. Our methodology involves crowd sourcing approach for traffic estimation as well as utilization of conditional probability distribution of traffic states at adjacent junctions. The later approach...
Information exchange in a vehicular network between autonomous vehicles and the roadside infrastructure is important for improving road safety. These autonomous vehicles, equipped with a sensor suite, are capable of obtaining road map data that can be used to inform other vehicles and update the central road map repository through roadside units. The roadside infrastructure nodes act as local databases...
Once vehicles start to be driven automatically, people expect the driving routing is automatically and optimally selected. Supposing all the vehicles are navigated by a single system in the future, the navigation system will be able to provide instructions to each vehicle based on the evaluated near-future traffic information while the current navigation system frequently updates the routing based...
We present in this paper a new algorithm for urban traffic light control with mixed traffic (communicating and non communicating vehicles) and mixed infrastructure (equipped and unequipped junctions). We call equipped junction here a junction with a traffic light signal (TLS) controlled by a road side unit (RSU). On such a junction, the RSU manifests its connectedness to equipped vehicles by broadcasting...
With the increase in the number of urban cars, the city's road congestion is getting heavier and heavier. Often, we choose the shortest path to reduce costs and improve efficiency during logistics distribution, but now, in order to improve timeliness, it is necessary to choose the fastest route to deliver because of traffic jams. This paper proposes a method to select the fastest route based on big...
A steering wheel modified to produce lateral skin stretch provides perceptible cues in a vehicle being driven on the road. We conducted tests to determine whether drivers can correctly perceive and react to skin stretch navigation cues. Additionally, we compare skin stretch feedback to audio navigation cues during an auditory N-back distraction task simulating a phone call. Results show a statistically...
Continuous increase of traffic demands, often more than the network capacity, is the primary reason for traffic congestion. Recently, the existence of macroscopic fundamental diagram in urban road network has been validated by many research works, and then activated the researches for the perimeter control of the network to realize objective of reducing network congestion. In this paper, the centralized...
Maintaining the reliability of Next Hop selection (NHS) in Inter-Vehicle Communication (IVC) technology has witnessed significant attention among researchers nowadays. The reason is because reliable selection of the next hop could improve the performance of geographic routing protocols, which is a major goal of Intelligent Transportation Systems (ITS) applications. This paper provides a qualitative...
Automatic auxiliary supervision equipment was launched for Highway patrol tasks in Taiwan in 2015. This study uses filming instead of taking photos of damages on the road at night. In addition, virtual detection points were set to identify the location of a patrol vehicle between being on a viaduct or ground. More importantly, the data of damage types was analyzed further for road management and maintenance.
The objective of this study is to analyze delay at signalized intersections using micro simulation approach. Traffic signal delay is one of the major problem people face in urban areas. An effective traffic signal timing and phasing arrangement has to be implemented to optimize the delay for all vehicle moments through the junction. Apart from signal timing arrangement, other factors such as geometry...
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can be beneficial to such systems to effectively manage and direct the traffic to the most appropriate detours. Many of the current traffic flow prediction...
Traffic related problems include not just traffic congestion due to increase in vehicular density, but also difficulty for passage of emergency vehicles, violation of rules such as red signal jumps, vehicle breakdowns and accidents causing blockage of roads and loss of lives. Previously proposed systems for smart traffic management focus on vehicular density based traffic signal control and provision...
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