Beijing Transportation Research Center

Beijing, China

Beijing Transportation Research Center

Beijing, China

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Grant
Agency: European Commission | Branch: FP7 | Program: CP-SICA | Phase: SST.2008.3.1.6. | Award Amount: 6.03M | Year: 2009

The VIAJEO project will design, demonstrate and validate an open platform which will be able to: support the transport operations, planning and a wide range of traveller information services; deliver dynamic information independent from the language to improve their provision of transport information and traveller services through integrated traffic data collection and management; deliver a solution that enables cross-modal journey planning, dynamic route guidance, effective payment access and improved personal mobility, etc.; provide standardised interfaces to connect a variety of entities needed for the mobility services The open platform will facilitate the integration of components for data management allowing integration of European and local components as most convenient in Athens, Sao Paulo, Beijing and Shanghai. The demonstration cities in Europe, China and Brazil have been carefully chosen to ensure that they have a reputation as national role models, allowing the results of successful demonstrations to be extended to other cities in these countries and also potentially to other countries in the respective continents. The scientific and technical objectives of the project are: (1) Design of an open platform with interfaces to a wide range of mobility services (2) Implementation of the open platform in Europe, and in the emerging Economies, i.e. China and Brazil. (3) Validation of the open platform (4) Assessment of social and transport impacts of the implementation and demonstration of the open platform VIAJEO will involve users, traffic managers, public authorities, transport operators, equipment manufacturers, vehicle manufacturers, service providers, application and service developers, content owners and providers, and research organisations.


Song G.,Beijing Jiaotong University | Yu L.,Texas Southern University | Xu L.,Beijing Transportation Research Center
Transportation Research Record | Year: 2013

Recent studies have indicated that the accuracy of the emissions estimation in a traffic simulation model can be little improved by using the traditional model calibration approaches. Instead, the model's internal mechanism in depicting the second-by-second vehicle activities needs to be investigated. Since the car-following model is the core component of a traffic simulation model, this paper attempts to conduct a comparative study of car-following models concerning their effects on the explanatory parameter of vehicle emissions, namely, the vehicle specific power (VSP) distribution. The car-following models selected for the analysis are the optimal velocity model (OVM), generalized force model (GFM), full velocity difference model (FVDM), Wiedemann model, and the Fritzsche model. Massive field car-following trajectories are collected, and a numerical simulation method is designed for each car-following model to generate its vehicle trajectories and the speed-specific VSP distributions. By a comparison of VSP distributions collected from the field and generated by car-following models, it was found that OVMs and GFMs generate unrealistic VSP distributions, which will lead to significant emissions estimation errors. By adding the variable of positive velocity difference, the FVDM can effectively improve the accuracy of the VSP distribution and emissions estimation. The VSP distribution of the Wiedemann model differs largely from the field data, which overestimate the peak VSP fraction and the fractions in aggressive driving modes. The Fritzsche model produces VSP distributions consistent with the field distributions. It is also found that the speed-specific VSP distribution is highly correlated with the acceleration distribution. Therefore, improving the accuracy of the speed-specific acceleration distribution is an effective measure to improve the accuracy of the VSP distribution and thus the emissions estimation of the car-following models.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP-SICA | Phase: GC.SST.2011.7-5. | Award Amount: 2.43M | Year: 2011

An attempt to integrate Journey Planning engines to form a unified intermodal planner for international journeys, has been performed by the WISETRIP FP7 project. WISETRIP has addressed important needs of the international traveller including the provision of personalized information before and during the trip, under different usage scenarios. The proposed Enhanced WISETRIP project aims at building on the knowledge developed in the recent project to bring new possibilities for planning, booking and travelling multimodal journeys adapted to all user needs, multiple trip criteria, environmental impact and personal preferences. To manage unexpected scenarios, the project will realise integration of real-time and non real-time data sources based upon efficient communications and decision management mechanism that will be considered for traveller alerting and trip redesign. It advances the state-of-the-art towards efficient and green planning of multimodal international trips, through its unique mixture of features, which are: -Inclusion of a wide grid of criteria that form the basis of variant trip strategies and govern selection process either at planning or at trip redesign phase. Criteria include CO2 footprint, elderly and disabled preferences, typical factors (time, cost, hops) and various user-specific options. -Acknowledging user requirements by genuinely addressing door-to-door journey planning; considering real-time event data and information on extraordinary conditions (strikes, disasters, extreme weather); and offering the possibility of integrated ticketing -Use of the most advanced mobile interfaces (handheld and in-vehicle devices), -Expansion of the geographical coverage and of the number of transport modes supported by the existing open platform for the interconnection of Journey Planners (www.wisetrip.travel); including international railway, car and cycle routing and more countries. -Strong dissemination across European and non-European countries


Zhou Y.,Tsinghua University | Wu Y.,Tsinghua University | Yang L.,Tsinghua University | Fu L.,Tsinghua University | And 5 more authors.
Atmospheric Environment | Year: 2010

Traffic congestion and air pollution were two major challenges for the planners of the 2008 Olympic Games in Beijing. The Beijing municipal government implemented a package of temporary transportation control measures during the event. In this paper, we report the results of a recent research project that investigated the effects of these measures on urban motor vehicle emissions in Beijing. Bottom-up methodology has been used to develop grid-based emission inventories with micro-scale vehicle activities and speed-dependent emission factors. The urban traffic emissions of volatile organic compounds (VOC), carbon monoxide (CO), nitrogen oxides (NOx) and particulate matter with an aerodynamic diameter of 10 μm or less (PM10) during the 2008 Olympics were reduced by 55.5%, 56.8%, 45.7% and 51.6%, respectively, as compared to the grid-based emission inventory before the Olympics. Emission intensity was derived from curbside air quality monitoring at the North 4th Ring Road site, located about 7 km from the National Stadium. Comparison between the emission intensity before and during the 2008 Olympics shows a reduction of 44.5% and 49.0% in daily CO and NOx emission from motor vehicles. The results suggest that reasonable traffic system improvement strategies along with vehicle technology improvements can contribute to controlling total motor vehicle emissions in Beijing after the Olympic Games. © 2009 Elsevier Ltd. All rights reserved.


Ma Z.,Chang'an University | Shao C.,Beijing Jiaotong University | Ma S.,Chinese People's Public Security University | Ye Z.,Beijing Transportation Research Center
Expert Systems with Applications | Year: 2011

The main goal of this paper is to construct three sets of road safety performance indicators, which are regional road safety performance indicators, urban road safety performance indicators and highway safety performance indicators, respectively. Fuzzy Delphi Method and Grey Delphi Method are applied to quantify experts' attitudes to regional road safety, urban road safety and highway safety. Comparing the results of two methods, the different results of two methods are analyzed, and then the final safety performance indicators are obtained by taking the intersection of results of two methods. Finally, three sets of performance indicators are constructed, which can be described and evaluated the safety level of region, urban road and highway, respectively. The research findings show that the method used in this paper is feasible and practical and can be provided as a reference for the administrative authority of road safety. © 2010 Elsevier Ltd. All rights reserved.


Wang H.,Tsinghua University | Fu L.,Tsinghua University | Chen J.,Beijing Transportation Research Center
Journal of the Air and Waste Management Association | Year: 2010

A grid-based, bottom-up method has been proposed by combining a vehicle emission model and a travel demand model to develop a high-resolution vehicular emission inventory for Chinese cities. Beijing is used as a case study in which the focus is on fuel consumption and emissions from hot-stabilized activities of light-duty gasoline vehicles (LGVs) in 2005. The total quantity of emissions, emission intensity, and spatial distribution of emissions at 1- by 1-km resolution are presented and compared with results from other inventory methods commonly used in China. The results show that the total daily fuel consumption and vehicular emissions of carbon dioxide, carbon monoxide, hydrocarbons, and oxides of nitrogen from LGVs in the Beijing urban area in 2005 were 1.95 × 107 L, 4.28 × 104 t, 1.97 × 103 t, 0.28 × 103 t, and 0.14 × 103 t, respectively. Vehicular fuel consumption and emissions show spatial variations that are consistent with the traffic characteristics. The grid-based inventory developed in this study reflects the influence of traffic conditions on vehicle emissions at the microscale and may be applied to evaluate the effectiveness of trafficrelated measures on emission control in China. Copyright © 2010 Air & Waste Management Association.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: SST.2013.3-2. | Award Amount: 2.11M | Year: 2013

The goal of Viajeo PLUS is to benchmark outstanding solutions for innovative and green urban mobility in Europe, Latin America, China and Singapore and subsequently facilitate the uptake of these solutions across different cities in these regions, and Mediterranean Partner Countries (MPCs). Over a 36-month timeframe, the Viajeo PLUS consortium will engage with leading European innovative organisations and academic institutes and cooperate with cities across Europe, Latin America, China, Singapore and MPCs to facilitate the sharing of good practices and demonstration of innovative solutions. The Viajeo PLUS project will: Assess current mobility solutions and the potential uptake of different solutions for different scenarios. Through case studies, showcases and capacity building, it will gather key experts in mobility management, clean vehicle, public transport, infrastructure and city logistics, to develop executive plans for the implementation of existing solutions in a new and innovate way; Create a new web-based Virtual Best Solution book to facilitate wider uptake of solutions across more cities and regions; Organise four individual City Mobility Weeks in Europe, Latin America, China and Singapore respectively. A City Mobility Week consists of showcases, workshops and stakeholder meetings. Through interactive showcases, participants will benefit from gaining first-hand experience of innovative solutions. Participants will exchange knowledge, information and best practice experiences through various workshops and meetings; Organise fora in Istanbul to engage stakeholders in MPCs to lay the foundations for future inter-regional cooperation in research and development activities; Facilitate a twinning cities programme to allow representatives from cities to experience innovative solutions for future implementation. Together with SOLUTIONS, Viajeo PLUS will develop recommendations to the EC for future collaboration among cities and for research cooperation initiatives.


Ma X.,University of Washington | Wu Y.-J.,University of Arizona | Wang Y.,University of Washington | Chen F.,Beijing Transportation Research Center | Liu J.,Beijing Transportation Research Center
Transportation Research Part C: Emerging Technologies | Year: 2013

To mitigate the congestion caused by the ever increasing number of privately owned automobiles, public transit is highly promoted by transportation agencies worldwide. A better understanding of travel patterns and regularity at the "magnitude" level will enable transit authorities to evaluate the services they offer, adjust marketing strategies, retain loyal customers and improve overall transit performance. However, it is fairly challenging to identify travel patterns for individual transit riders in a large dataset. This paper proposes an efficient and effective data-mining procedure that models the travel patterns of transit riders in Beijing, China. Transit riders' trip chains are identified based on the temporal and spatial characteristics of their smart card transaction data. The Density-based Spatial Clustering of Applications with Noise (DBSCAN) algorithm then analyzes the identified trip chains to detect transit riders' historical travel patterns and the K-Means++ clustering algorithm and the rough-set theory are jointly applied to cluster and classify travel pattern regularities. The performance of the rough-set-based algorithm is compared with those of other prevailing classification algorithms. The results indicate that the proposed rough-set-based algorithm outperforms other commonly used data-mining algorithms in terms of accuracy and efficiency. © 2013 Elsevier Ltd.


Hu Z.,Beijing Transportation Research Center
ICTIS 2013: Improving Multimodal Transportation Systems - Information, Safety, and Integration - Proceedings of the 2nd International Conference on Transportation Information and Safety | Year: 2013

As the combination of Internet of Things and transportation, the research for pedestrian or vehicle traffic information collection have been carried out. This paper shows the concepts and methodologies of Bluetooth signal collectors, which can collect real-time Bluetooth signals from portable electronic devices such as intelligent cellular phones, PDA, Bluetooth headsets, etc., within its coverage. In field application, Bluetooth signal collectors are distributed to fixed points in the traffic network. Based on the matches of uniform Bluetooth MACs in time series, the traffic parameters can be collected precisely. After programming design, circuit design and electronic components selection, sets of prototypes were developed. Then, groups of experiments were carried out and the detection rate of the collector prototype was found to be 85% with self-antenna. Furthermore, the influence factors for missing signal detection were summarized. Based on the research, the Bluetooth signal collectors were applied in field pedestrian traffic survey at metro transfer stations squares. It is concluded that important parameters of pedestrian traffic can be collected and calculated accurately, including the arrival and departure distribution of tourists, the transfer ratios and transfer time, which are essential for refined traffic planning and management. © 2013 American Society of Civil Engineers.


Zhai Y.,Beijing Transportation Research Center
ICTIS 2013: Improving Multimodal Transportation Systems - Information, Safety, and Integration - Proceedings of the 2nd International Conference on Transportation Information and Safety | Year: 2013

Considerable errors exist in speed data that is obtained from various detectors, and its accuracy directly affects the results of various traffic analysis models. This research implemented 12 groups of field experiments on roads of different classes by using a test vehicle with GPS modules. It attempts to verify the accuracy discrepancy of travel speed data collected by a floating car system, microwave detectors, and loop detectors. Analysis shows that the average travel speed errors of floating cars on road sections of urban expressways and arteries are 13.6% and 27.8%, respectively, and the collected data and the actual speed have the same distribution. Compared with actual speed, the errors of the microwave detector on expressways and loop detectors on arteries are 30% and 56%, respectively. Although there exists a certain degree of error, basically, it can characterize the traffic conditions on the road section when the road section speed of the microwave detector is used to denote the travel speed. Study results provide suitable data sources for different traffic models that have different accuracy requirements. Besides, it provides a theoretical basis for improving data accuracy and completeness by using the redundant information of multi-source data. As the traffic congestion becoming increasingly serious, accurate and timely releasing of traffic information as well as reasonable traffic forecasts and guidance have gotten more and more attention. As one kind of the most important data of the Intelligent Transportation System, the accuracy of road section speed directly impacts the ITS application effect. Many kinds of detectors have been used for collecting road section speed, and the three most common are the floating car system, loop detectors, and microwave detectors. The floating car system can provide road section speed, but its accuracy has not been systematically validated. Currently, the literature (Jiang, Chang, Zhang 2009) just validated the accuracy of a single test vehicle by using different time intervals and upload times, but it wasn't for the whole system. Literature (Hu and Wen 2008) compared taxi speed and the travel speed of traffic flow by using the vehicle license plate method that theoretically obtained the precision of the floating car collection method, but it didn't involve the actual accuracy validation of the floating car collection system. Making the Beijing floating car collection system as the research object, by using a test vehicle, this research verified the accuracy of the system and analyzed the error distribution as well as the reasons affecting the data accuracy. © 2013 American Society of Civil Engineers.

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