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The search for free parking space in a crowded car park is a time-consuming and tedious task. Today's park assistance systems provide the driver with acoustic or visual feedback when approaching an obstacle or semi-autonomously navigate the vehicle into the parking lot. However, finding a free parking lot is usually left to the driver. In this paper, we address this search problem via video sensors...
Inter-modal interfaces are extremely important for the transportation system as a whole. Therefore, designing and dimensioning airport terminals' curbsides are a major step to improve passengers' experience. Indeed, evaluating such design is a critical task that must be performed to point out the best solution. This paper reports on our modelling, implementation, and evaluation of two curbside scenarios:...
We revise the extraction of dynamic origin-destination (OD) matrices from the ATV data in public transportation systems. We extend the previous approaches by arguing that passengers plan their trips with multiple goals in mind. We argue a need for determining the multi-goal transfer trips and propose a method for recognizing such trips and including their elements in the OD matrix. We deploy the utility...
Sharing travels is an effective way to increase car occupancy rates and to reduce the number of cars for the same distances traveled. This is a problem involving operations research (how to best match travels in time and space, what level of similarity for the routes,…) and behavior challenges (on which conditions users choose to share travels, which type of users is willing to share the travel, what...
The objective of this paper is the development of a multi-criteria optimization framework for the simultaneous calibration of demand and supply parameters in DTA. The presented approach estimates origin-destination (OD) flows and calibrates the driver behavioral and route choice parameters in a complex network modeled in Paramics microscopic traffic simulation model. Genetic Algorithm (GA) is chosen...
This article formulates the problem of estimating the traffic control strategy of a single intersection traffic signal controller from observed data. Building on previous results in the literature on optimal traffic signal control and convex inverse optimal control problems, a method is proposed to efficiently solve the inverse optimal traffic signal control problem to recover the control objective...
Due to historical reasons or system development aspects, many high-level control tasks in vehicles are performed by underlying low-level controllers. This separation of concerns provides reliable systems, but potentially degrades the performance compared to centralized control. Performance losses are acceptable for most control tasks, but for collision avoidance systems one should not compromise on...
The formation control problem of a multi-vehicle system is dealt with by transforming it to a leader-following consensus problem. We focus on the case of constant spacing policy, i.e., to design a control strategy to make all the vehicles achieving a common value of velocities and maintaining a constant spacing between the vehicles. The leading vehicle (leader) is assumed to travel freely. We discuss...
The Stadtpilot project aims at fully automated driving on Braunschweig's inner city ring road. The TU Braunschweig's research vehicle “Leonie” is one of the first vehicles having the ability of fully automated driving in real urban traffic scenarios. This paper shows our decision making approach for performing lane changes while driving fully automated in urban environments. We apply an online Partially...
The paper presents an in-depth analysis of the bi-level gradient approximation approach for dynamic traffic demand estimation. Initially, a sensitivity analysis of the parameters of Simultaneous Perturbation Stochastic Approximation method (SPSA) with Asymmetric Design (AD) and Polynomial Interpolation (PI), firstly proposed by authors in 2011, is presented. Then, an adaptive method based on the second...
Connected Cruise Control (CCC) is an in-car driver support systems that aims to improve throughput in dense motorway traffic by advising drivers how to drive. The system is currently under development within a HTAS project. It will integrate lane advice, headway advice and speed advice. CCC will not take over vehicle control. This makes its effectiveness dependent on the drivers ability and willingness...
Albeit ambitious political targets for the introduction of electric mobility, actual sales figures for battery-electric and plug-in hybrid vehicles stay low in Germany as in most other industrial countries. High purchase prices alone seem like an easy, yet too simple answer since a range of expensive conventional vehicles has always been sold in the market. The paper explores two technical limitations...
Real-time detection of vehicular volume, mean speed and vehicle type has important significance, but the existing video-based detection methods are not satisfactory at processing speed and accuracy. This paper proposes a high-efficient method to detect all the three parameters from two foreground temporal-spatial images (TSIs) directly, which are obtained from two virtual detection lines (VDLs) in...
The higher penetration rate of GPS-enabled smartphones together with their improved processing power and battery life makes them suitable for a number of participatory sensing applications. The purpose of this paper is to analyse how GPS-enabled smartphones can be used in a participatory sensing context to build a radio map for RSS-based positioning, with a special focus on road traffic information...
Several papers claim that the cooperative intersection management significantly improves the intersection performance. The cooperative intersection management is based on the negotiation of the “right of way” between vehicles. This paper focusses on the sequence-based protocol. The last version of this protocol relies on a simple signalization system that is “green” or “red” displayed by an onboard...
We give a comprehensive, market-flavoured look at the networks of electric vehicles (EVs) and their components: vehicles, charging stations, and coalitions of stations. We start by separately studying (i) how autonomously operated charging stations form coalitions; (ii) the price policy enacted by such coalitions; (iii) how vehicles select the charging station to use, pursuing a time/price trade-off...
We propose a probabilistic approach to self-localization of an autonomous mobile outdoor robot based on hybrid (metrically-annotated topological) map knowledge. A particle filter is used to estimate the state of the robot based on map data and relative dead-reckoning measurements. Convergence speed of the filter is improved by equidistant road sampling placing particles equidistantly along map segments...
Real time traffic information systems like SYTADIN[11] help in route to destination planning and traffic state prediction. Energy-optimal routing for electric vehicles creates novel algorithmic challenges where the computation complexity is the main issue. This complexity is induced by the possible negative values of edge energy as well as the variability of route and vehicle variables which render...
The path travel time between trips are proved to be strongly linear correlated, and the regression parameters are gradually converging to a steady value with buses travel on the route. A regression-based method for bus trajectory estimation at downstream stops was proposed, and its performance on estimation accuracy was compared with the historical-based model. The research results show that the proposed...
Mitigation of traffic congestion is an important challenge for intelligent transportation systems (ITSs). However, congestion in basic sections on interurban expressways is not effectively considered in ITS design because spontaneous generation of congestion has not yet been modeled. This paper points out the difficulties of traditional approaches and proposes a new traffic flow model where only the...
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