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Conventional traffic light control systems are based on fixed time intervals of the traffic lights. These conventional fixed traffic light controllers have limitations and are less efficient because they use a hardware, which functions according to the program that lacks the flexibility of modification and adaptation on a real time basis. Thus due to the fixed time intervals of green and red signals...
The formation and propagation of queues on urban freeways is an unavoidable result of the ever-increasing traffic demand. This paper presents the design, specification, implementation and evaluation of an infrastructure based Queue Warning system (QWARN) that is capable of detecting dangerous traffic conditions, i.e. crash-prone conditions, on freeways and delivering warning messages to drivers, in...
In this paper we revisit the real-time traffic forecasting problem. We review recently proposed Dynamic Traffic Assignment (DTA) methods and verify how they can improve the practice of traffic forecasting. In particular, we analyze: 1) the Gradient projection DTA model of Gentile (2016), 2) Day-to-day model by Watling and Cantarella (2016), 3) the Marginal Computation (MaC) method by Corthout et al...
Freeway traffic control strategies such as ramp metering and variable speed limits are gaining importance in relieving freeways congestion. Along with reducing the travel time, freeway traffic control strategies are also considered as key players in improving the traffic safety and decreasing the vehicle emissions. Traffic simulation tools overtook the real-world implementations, for testing traffic...
The rapid development of the Dedicated Short Range Communications (DSRC) has provide a good opportunity for solving the increasingly outstanding traffic safety problems. One noteworthy function enabled by DSRC is the end of queue (EOQ) collision warning system. However, the reliability of the system is easily affected by some easily ignorable factors like DSRC penetration rate, DSRC communication...
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.
Automatic Vehicle Location (AVL) is becoming an important tool in Intelligent Transportation Systems (ITS) in the past few years, as it is an effective way of collecting and transmitting data regarding the vehicle's trip for real-time or future use. A methodology for analyzing the state of the art regarding the application of these systems is proposed in a form of a systematic literature review, by...
We revisit the problem of traffic signal control in urban traffic networks. Recent work in the literature has studied the use of scheduling algorithms from communication networks to traffic signal control with the aim of maximising the network throughput. However, these algorithms are unable to capture some of the network characteristics such as protocol constraints or penalties on the control actions,...
Diverging diamond interchanges (DDI) have been proved to outperform other types of diamond interchanges in terms of safety, cost-effectiveness and efficiency, but most of those research efforts were based on case studies using simulation or empirical analysis. Few research efforts have been done to conduct the analytic calculation of delay, with which optimization of timing plans can be acquired more...
We formulate the Asymmetric Cell Transmission Model (ACTM) as a piecewise affine system defined over regions of the state and input space. We synthesize a hybrid Model Predictive Controller (MPC) for the piecewise affine model such that persistent feasibility and stability are guaranteed. We do so by designing a terminal constraint and terminal cost for the equilibrium state of the system. We include...
Traffic patterns of the lanes accommodating the same movement at signalized intersection are different with each other in most cases, which could decrease the efficiency of signal control. This problem derives from drivers' preferences to specific lane, which is contrary to common control strategy that usually takes the lane traffics as a whole. Lane-based timing technique can solve this problem,...
The relevance of decision making in autonomous systems is intrinsically related to the system capacity to discriminate its perception-action states. This is particularly challenging in unknown and changing complex environments, where providing a complete a priori representation to the system is not possible. To illustrate the problem, let us consider a decentralized control of road traffic, where...
In this paper, the performance of the well-known Generalized Adaptive Smoothing Method (GASM) as online traffic speed estimator with Floating Car Data (FCD) as single source of data is assessed. Therefore, the main challenges originating from the sparseness and delay in collecting FCD are addressed and a procedure using the GASM is proposed that allows estimating traffic velocities continuously. In...
Congestion on freeways restrains its ability to provide smooth traffic flow. Normally congestion occurs when traffic volumes are considerably greater than the link capacity especially in the peak hours or in case of incidents that disturb the traffic flow, which either are denoted as recurrent and nonrecurrent congestion respectively. As a consequence, the freeway network performance is adversely...
Objective of this paper is to test and compare different solution algorithms for solving nonlinear freeway traffic control problems. The motivation of this work is related to the fact that the nonlinear problems arising in freeway traffic control are very challenging from a computational point of view, since they are generally characterized by a large number of variables and are often nonlinear and...
This paper presents a method of estimating traffic density on a highway/freeway from cellular network data. The speed of the traffic is calculated/ measured from the cellular network communication between the vehicles and the network. The model for estimating the density from the speed is developed from the cellular data. The results are then validated through the one-equation partial differential...
In this paper, a novel anomaly detection method ispresented by using quaternion numbers to model traffic signals. A signal processing approach is proposed to deal with traffic surveillance. Traffic structures are depicted using directed graph models. The relationship among different traffic direction signals are represented through using quaternion numbers instead of individual representation of one...
The increasing number of vehicles nowadays makes traffic congestion problems, inefficient traffic management cannot solve the jam at intersection. In this paper, we propose an intelligent traffic control scheme which uses the dynamic traffic information. An improved algorithm is given to choose phase matrices for short-term throughput maximization by allocate more durations of green-sign to those...
Potential disruption stemming from self-driving vehicle (SDV) technology may change not just vehicles, but the foundations of our mobilities. As an example of analysing SDV technological development, this paper focuses on SDV intersection control. The starting premise is that technological development requires an understanding of previous developmental trajectories and potential future needs, rather...
In the current day and age, traffic in urban areas is becoming more and more complex leading to congested roads and intersections. Hence, the need for sophisticated traffic control system to reduce the congestion and provide better flow management. In this paper, we present briefly the basic notions and the most important parameters that affects the traffic control. Then, we provide a survey on the...
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