| 1. |
- Cats, Oded, et al.
(författare)
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Evaluation of real-time holding strategies for improved bus service reliability
- 2010
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Ingår i: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. - Madeira, Portugal. - 9781424476572 ; , s. 718-723
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Konferensbidrag (refereegranskat)abstract
- Service reliability is one of the main measures of performance determining transit system level of service. Holding control strategies are a common transit operations practice aimed to reduce transit service unreliability by setting criteria for departure fromtime point stops. In order to adequately analyze the sources of uncertainty involved with transit performance, it is essential to model dynamically the interactions between traffic conditions, passenger demand and transit operations. BusMezzo, a transit simulation model has been developed on a platform of a mesoscopic traffic simulation model, which enables the representation of large-scale transit systems. The model implements severalreal-time holding strategies. It is used to evaluate the application of these strategies in areal-world high-demand bus line in the Tel Aviv metropolitan area, under various scenarios. An analysis of the results suggests that a holding strategy based on the mean headway from the preceding bus and the next bus, restricted by a maximum allowableholding time, is especially efficient.
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| 2. |
- Jie, L., et al.
(författare)
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Optimizing the fleet size of a personal rapid transit system : A case study in port of Rotterdam
- 2010
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Ingår i: 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC). - : IEEE. - 9781424476572 ; , s. 301-305
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Konferensbidrag (refereegranskat)abstract
- Cost issues have been an important concern in the development of Personal Rapid Transit (PRT) since the concept was developed several decades ago. The lightweight, computer-guided electric vehicles operating the PRT system are generally a major part of the capital cost of the system, especially in larger network with high demand. A sufficient number of empty vehicles are needed to be moved to the stations where passengers are waiting or demand is expected. Generally a larger fleet size leads to a reduction in waiting time of passengers and thus a higher level of service given a specific demand, but an increased investment cost including capital cost per vehicle and additional operation and maintenance. So it requires a compromise between user cost (in terms of passenger waiting times) and operator cost (in terms of fleet sizedependent capital cost and operating/maintenance costs). There should be an optimal fleet size so that the sum of these two costs can be minimized while an expected level of service is achieved. This paper presents first the way to obtain the PRT demand, and then a prescription to determine the optimal fleet size using a cost-effectiveness analysis with traffic simulation. This prescription identifies the set of activities that are necessary to perform the optimization task. Each activity is regarded as a component in our general framework and this framework is illustrated by a case study in the Waal/ Eemshaven harbor area in the Port of Rotterdam, The Netherlands.
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| 3. |
- Kharrazi, Sogol, 1980, et al.
(författare)
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Lateral stability control of a long heavy vehicle combination by active steering of the towed units
- 2010
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Ingår i: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. - 9781424476572 ; , s. 168-173
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Konferensbidrag (refereegranskat)abstract
- A complete vehicle combination controller for enhancing the lateral stability of long heavy vehicle combinations by active steering of the towed units is presented. As a case study, the controller is developed for a truck-dolly-semitrailer combination and is evaluated in a sine with dwell maneuver, using a nonlinear model of this combination. The simulation results show a significant decrease in yaw rate rearward amplification and offtracking of the controlled vehicle.
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| 4. |
- Nilsson, Jonas, 1979, et al.
(författare)
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Sensitivity Analysis and Tuning for Active Safety Systems
- 2010
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Ingår i: IEEE Intelligent Transportation Systems Conference. - 2153-0009. - 9781424476572 ; , s. 161-167
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Konferensbidrag (refereegranskat)abstract
- Active safety systems utilize information about thevehicle’s state and possibly the surrounding environment toassist the driver if a traffic situation is considered hazardous. The decision to assist the driver is based on sensors that are more or less subjected to errors. In this paper, we study the influence of input perturbations on decision functions in active safety systems. We present a framework for evaluation of system performance, specification of input requirements and decision function tuning. By introducing a robustness measure, describing the robustness to error for the decision function, wederive efficient methods for analyzing the system performance.The framework is demonstrated on experimental data.
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| 5. |
- Nuevo, Jesus, et al.
(författare)
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Estimating Surrounding Vehicles' Pose using Computer Vision
- 2010
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Ingår i: In proceeding of 13th International IEEE Conference on Intelligent Transportation Systems - ITSC 2010, September 19 - 22, 2010, Madeira, Portugal.. - 9781424476572 ; , s. 1863-1868
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Konferensbidrag (refereegranskat)abstract
- This paper presents a computer vision-based approach to tracking surrounding vehicles and estimating theirtrajectories, in order to detect potentially dangerous situations.Images are acquired using a camera mounted in the ego vehicle.Estimations of the distance, velocity and orientation of othervehicles on the road are obtained by detecting their lightsand shadow. Because 3D information is not readily availablein a mono-camera system, several sets of constraints andassumptions on the geometry of both road and vehicles areproposed and tested in this paper. Kalman filters are usedto track the detected vehicles. We also study the advantagesof tracking the vehicles in road space (world coordinates), ortracking the position of the lights and shadows on the image.The performance of the different approaches is evaluated onvideo recorded in an urban environment.
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| 6. |
- Rahmani, Mahmood, et al.
(författare)
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Requirements and Potential of GPS-based Floating Car Data for Traffic Management : Stockholm Case Study
- 2010
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Ingår i: 2010 13th International IEEE Conference on Intelligent Transportation Systems. - 9781424476572 ; , s. 730-735
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Konferensbidrag (refereegranskat)abstract
- The application of GPS probes in traffic management is growing rapidly as the required data collection infrastructure is increasingly in place in urban areas with significant number of mobile sensors moving around covering expansive areas of the road network. The paper presents the development of a laboratory designed to explore GPS and other emerging traffic and traffic-related data for traffic monitoring and control. It also presents results to illustrate the scope of traffic information that can be provided by GPS-based data, using the city of Stockholm as a case study. The preliminary analysis shows that network coverage, especially during peak weekday hours, is adequate. Further investigation is needed to validate the data, and increase its value through fusion with complementary data from other sources.
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| 7. |
- Raphiphan, Panraphee, et al.
(författare)
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Real time traffic congestion degree computation for minor sensorless roads using cost efficient context reasoning
- 2010
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Ingår i: 13th International IEEE Conference on Intelligent Transportation Systems (ITSC). - Piscataway, NJ. - 9781424476572 ; , s. 1741-1746
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Konferensbidrag (refereegranskat)abstract
- Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor roads is rarely available. In this paper, we present a cost efficient approach to compute real time traffic congestion degrees for non-sensor infrastructure roads, such as small minor roads, based on context fusion and context reasoning method. Our framework intends to utilize real time acquirable context instead of relying on traffic sensory data which made our approach suitable for insufficient sensor infrastructure environment. The evaluation throughout several experimentations conducted in Bangkok has proven the feasibility of our approach. Besides, the experimental result indicated that the methodology of our experiment can be used as an alternative cost efficient tool for infrastructure investment decision making.
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