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Zhenyu Mei
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

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Journal article
Published: 13 October 2020 in Sustainability
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At present, many new urban areas adopt the transit-oriented development (TOD) exploitation concept to achieve sustainable urban development, accurately predict parking demand under TOD exploitation, determine factors that influence demand, and establish demand models that are essential to the formation of a reasonable traffic structure in the new urban area. The present study aims to establish a scientific and reasonable parking demand model for TOD exploitation in new urban areas. Influencing factors of parking demand in new urban areas under the concept of TOD are determined, and a framework for a parking demand model is constructed. A travel cost measurement model for travel structures at different travel distances is established, considering travel cost as the core element, given that it affects the travel structure at different distances. Finally, taking the Hangzhou Bay New District as an example, the costs of various travel structures under TOD exploitation are calculated, and the reasonable parking demand is calculated. From the perspective of parking management, the concept of TOD is effectively supported.

ACS Style

Zhenyu Mei; Liang Kong; Wenchao Zheng. TOD Parking Demand Models for New Urban Areas in China. Sustainability 2020, 12, 8406 .

AMA Style

Zhenyu Mei, Liang Kong, Wenchao Zheng. TOD Parking Demand Models for New Urban Areas in China. Sustainability. 2020; 12 (20):8406.

Chicago/Turabian Style

Zhenyu Mei; Liang Kong; Wenchao Zheng. 2020. "TOD Parking Demand Models for New Urban Areas in China." Sustainability 12, no. 20: 8406.

Journal article
Published: 07 March 2020 in Sustainability
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Parking demand exceeding parking supply and uneven parking demand distribution are the existing conflicts in city centers. Parking pricing is frequently utilized to manage parking resources. This study aims to assess different parking pricing strategies through simulations for providing operational suggestions for urban parking managers. Two widely used parking pricing strategies in China combined with an optimized parking pricing strategy are proposed and compared. We introduce an agent-based simulation system to describe the parking and traffic conditions. Various measures of effectiveness under different parking pricing strategies can be obtained via agent-based simulations. We then construct a comprehensive benefit combining average cost and failure rate. Results show that the second strategy with charging different parking fees by considering locations and third optimized strategy can effectively improve traffic efficiency. However, the second strategy may lead to higher average cost than that of the third one. Thus, the third optimized strategy performs the best and can be used to optimize the parking policy of parking managers in the future. The entire assessment through simulations can provide evaluation suggestions for parking managers to adjust parking policies.

ACS Style

Zhenyu Mei; Chi Feng; Liang Kong; Lihui Zhang; Jun Chen. Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis. Sustainability 2020, 12, 2056 .

AMA Style

Zhenyu Mei, Chi Feng, Liang Kong, Lihui Zhang, Jun Chen. Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis. Sustainability. 2020; 12 (5):2056.

Chicago/Turabian Style

Zhenyu Mei; Chi Feng; Liang Kong; Lihui Zhang; Jun Chen. 2020. "Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis." Sustainability 12, no. 5: 2056.

Journal article
Published: 06 March 2020 in IET Intelligent Transport Systems
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Commuter flow is an important part of metro passenger flow. The aim of this study is to develop an efficient and effective method to identify the spatiotemporal commuting patterns of Metro Line 2 in Hangzhou. Using one-week transit smart card data and a questionnaire survey of Metro Line 2, the authors distinguished the spatiotemporal regularity of individual commuters, including first travel time, last travel time, and the number of travelling days on weekdays. This data could be used to identify transit commuters by leveraging ensemble learning approaches. The random forest algorithm was adopted as a low-cost, high-efficiency analysis method, and the classification model was established with the information of travel time, days of travelling, and the unique tag information in the questionnaire survey data. Then, numerical tests were carried out to show that the Precision and Recall rates of the proposed model could reach as high as 0.96 and 0.92, respectively. Finally, the validated random forest model was applied to identify metro commuters from the smartcard data. The results show that less than one-third of passengers are commuter traffic and are mainly concentrated during peak hours. These extracted personal-level commute models can be used as valuable information for the design and optimisation of public transportation networks.

ACS Style

Zhenyu Mei; Wenchao Ding; Chi Feng; Liting Shen. Identifying commuters based on random forest of smartcard data. IET Intelligent Transport Systems 2020, 14, 207 -212.

AMA Style

Zhenyu Mei, Wenchao Ding, Chi Feng, Liting Shen. Identifying commuters based on random forest of smartcard data. IET Intelligent Transport Systems. 2020; 14 (4):207-212.

Chicago/Turabian Style

Zhenyu Mei; Wenchao Ding; Chi Feng; Liting Shen. 2020. "Identifying commuters based on random forest of smartcard data." IET Intelligent Transport Systems 14, no. 4: 207-212.

Journal article
Published: 06 November 2019 in Simulation Modelling Practice and Theory
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Parking demand is generally larger than parking supply in city centers. And uneven distribution of parking demand often leads to over-consumption in the popular places. To balance the existing conflicts, parking reservation system (PRS) is commonly adopted to manage and configure the reservation parking spaces. The aim of this paper is to optimize social benefits and parking lot revenue through configuring reasonable reservation proportion for each off-street public parking lot in the urban area, which can provide operation advice for parking management departments. Firstly, an agent-based simulation model which presents the coexistence of reservation and non-reservation parking vehicles was established, and parking selection used the predicted parking space occupancy rate of a target parking lot at a predicted vehicle arrival time. Then, genetic algorithm was used in simulations to optimize the solution of combining different reserved parking space proportion configurations. Finally, Wulin CBD, Hangzhou, China was applied as a case to analyze and optimize the reserved parking space proportion. The Single-objective optimization, such as social benefits, parking lot revenue, and multi-objective optimization were both discussed and analyzed. Results show that through optimizing parking reservation proportion configuration can directly and effectively improve social benefits or parking lot revenue. Further analysis indicated that optimizing social benefits and parking lot revenue are two conflicting objectives. The reserved parking space proportion in popular parking lots should be reduced as much as possible under the optimization of social benefits.

ACS Style

Zhenyu Mei; Wei Zhang; Lihui Zhang; Dianhai Wang. Optimization of reservation parking space configurations in city centers through an agent-based simulation. Simulation Modelling Practice and Theory 2019, 99, 102020 .

AMA Style

Zhenyu Mei, Wei Zhang, Lihui Zhang, Dianhai Wang. Optimization of reservation parking space configurations in city centers through an agent-based simulation. Simulation Modelling Practice and Theory. 2019; 99 ():102020.

Chicago/Turabian Style

Zhenyu Mei; Wei Zhang; Lihui Zhang; Dianhai Wang. 2019. "Optimization of reservation parking space configurations in city centers through an agent-based simulation." Simulation Modelling Practice and Theory 99, no. : 102020.

Articles
Published: 14 March 2019 in Journal of Intelligent Transportation Systems
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Multistep prediction of public parking spaces in the parking guidance and information system and parking reservation system has great benefits for intelligent parking. This study analyzes the C0 complexity of parking space occupancy time series from the frequency domain aspect. Results show that regular components account for the vast majority of parking space occupancy time series and can be considered a “quasiperiodic” series, which provides the theoretical basis for multistep prediction. This study combines the idea of Fourier transform (FT) and a machine learning method least squares support vector regression (LSSVR) together and proposes the Fourier transform–least squares support vector regression (FT–LSSVR) multistep prediction algorithm. As taking consideration of a predicting step threshold, this method has the power to predict single-step and multistep public parking spaces. Verification on two typical public parking lots in Hangzhou shows the great performance of FT–LSSVR. The prediction accuracy of proposed FT–LSSVR immensely outperforms the traditional LSSVR prediction after considering the step threshold. Moreover, the proposed method did not add the computational time complexity compared with the traditional LSSVR prediction. Thus, the proposed method is more suitable for real-time systems for its high prediction accuracy and less complex calculation.

ACS Style

Zhenyu Mei; Wei Zhang; Lihui Zhang; Dianhai Wang. Real-time multistep prediction of public parking spaces based on Fourier transform–least squares support vector regression. Journal of Intelligent Transportation Systems 2019, 24, 68 -80.

AMA Style

Zhenyu Mei, Wei Zhang, Lihui Zhang, Dianhai Wang. Real-time multistep prediction of public parking spaces based on Fourier transform–least squares support vector regression. Journal of Intelligent Transportation Systems. 2019; 24 (1):68-80.

Chicago/Turabian Style

Zhenyu Mei; Wei Zhang; Lihui Zhang; Dianhai Wang. 2019. "Real-time multistep prediction of public parking spaces based on Fourier transform–least squares support vector regression." Journal of Intelligent Transportation Systems 24, no. 1: 68-80.

Journal article
Published: 11 January 2019 in Transport Policy
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The demand for parking spaces in city centers often exceeds the supply. The spatial distribution of such spaces is uneven, which leads to the overheating of hot parking lots. To balance existing conflicts, parking charge and reservation mechanisms are usually utilized to improve the overall efficiency of parking spaces. This study aims to analyze and compare the benefits of these instruments and provide operational suggestions for urban parking managers. To achieve this goal, we introduce an agent simulation system and construct a simulation framework of parking charge and reservation. Then, the average travel time and total parking space utilization time are combined as a comprehensive benefit with different weights, and the benefits of parking charge and reservation are analyzed and compared under the corresponding weight. Parking charge and reservation are considered comprehensively in a combined simulation example. Results show that parking charge and reservation can remarkably improve the comprehensive benefit, and parking charge can achieve the maximum comprehensive benefit when the fee is high. When the fee is low, such as less than 26 yuan/h, the reservation mechanism can achieve a good level of benefit. Thus, parking reservation in most cities in China is an effective means to manage popular parking lots when the parking fee is low and difficult to increase.

ACS Style

Zhenyu Mei; Chi Feng; Wenchao Ding; Lihui Zhang; Dianhai Wang. Better lucky than rich? Comparative analysis of parking reservation and parking charge. Transport Policy 2019, 75, 47 -56.

AMA Style

Zhenyu Mei, Chi Feng, Wenchao Ding, Lihui Zhang, Dianhai Wang. Better lucky than rich? Comparative analysis of parking reservation and parking charge. Transport Policy. 2019; 75 ():47-56.

Chicago/Turabian Style

Zhenyu Mei; Chi Feng; Wenchao Ding; Lihui Zhang; Dianhai Wang. 2019. "Better lucky than rich? Comparative analysis of parking reservation and parking charge." Transport Policy 75, no. : 47-56.

Conference paper
Published: 02 July 2018 in CICTP 2018
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In the context of promoting “bus priority,” and “people-oriented” mobility in China, this paper first puts forward the theory of designing a green wave for non-vehicle travel and bus. Then this paper selects three intersections on Moganshan Road, of Hangzhou City, as the research object, with the average delay per person as the optimization index. We first count up the travel time of non-motor vehicles and buses through adjacent intersections by investigating video data, and the results show that the travel time between the electric bicycle and the bus is not significant. Finally, we use VISSIM software for simulation analysis, and the result show that when designing green wave for non-motor vehicle and bus, the average delay per person drops from 77.9 s to 45.3 s, compared to non-coordinated travel.

ACS Style

Zhenyu Mei; Hai Qiu; Chi Feng. Simulation Analysis of Green Wave Control on a Short Corridor Based on Non-Motor Vehicles and Buses. CICTP 2018 2018, 1 .

AMA Style

Zhenyu Mei, Hai Qiu, Chi Feng. Simulation Analysis of Green Wave Control on a Short Corridor Based on Non-Motor Vehicles and Buses. CICTP 2018. 2018; ():1.

Chicago/Turabian Style

Zhenyu Mei; Hai Qiu; Chi Feng. 2018. "Simulation Analysis of Green Wave Control on a Short Corridor Based on Non-Motor Vehicles and Buses." CICTP 2018 , no. : 1.

Research article
Published: 26 February 2018 in SIMULATION
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This paper presents the findings of a simulation study evaluating the potential benefits of implementing transit signal priority (TSP) combined with arterial signal coordination for an isolated intersection. Traffic signal coordination is usually implemented along corridors with bus lanes. Active transit signal priority (active TSP) is a traffic-responsive control that prioritizes transit vehicles at signalized intersections. Thus, implementing active TSP under a stable cycle length is necessary to meet the relative demand of the non-priority phase and to maintain system stability. A real key intersection on an artery is taken as the object, and TSP controlling logics with specific restrictions are realized by using the VISSIM vehicle actuated programming module. Simulation analysis reveals the effect of TSP strategies with flow variation on the optimal cycle, and also identifies a reasonable method for selecting the gap time and initial green time of the priority phase. Results show that under special flow combination, increasing the cycle time generated by the traditional transportation and road research laboratory approach can give rise to additional benefits. The volume influences both the gap time and initial green time of the TSP phase. Moreover, the efficiency of red truncation is slightly better than that of the green extension strategy.

ACS Style

Zhenyu Mei; Zhen Tan; Wei Zhang; Dianhai Wang. Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions. SIMULATION 2018, 95, 51 -64.

AMA Style

Zhenyu Mei, Zhen Tan, Wei Zhang, Dianhai Wang. Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions. SIMULATION. 2018; 95 (1):51-64.

Chicago/Turabian Style

Zhenyu Mei; Zhen Tan; Wei Zhang; Dianhai Wang. 2018. "Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions." SIMULATION 95, no. 1: 51-64.

Research article
Published: 13 June 2017 in Journal of Advanced Transportation
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Reasonable parking charge and supply policy are essential for the regular operation of the traffic in city center. This paper develops an evaluation model for parking policies using system dynamics. A quantitative study is conducted to examine the effects of parking charge and supply policy on traffic speed. The model, which is composed of three interrelated subsystems, first summarizes the travel cost of each travel mode and then calibrates the travel choice model through the travel mode subsystem. Finally, the subsystem that evaluates the state of traffic forecasts future car speed based on bureau of public roads (BPR) function and generates new travel cost until the entire model reaches a steady state. The accuracy of the model is verified in Hangzhou Wulin business district. The related error of predicted speed is only 2.2%. The results indicate that the regular pattern of traffic speed and parking charge can be illustrated using the proposed model based on system dynamics, and the model infers that reducing the parking supply in core area will increase its congestion level and, under certain parking supply conditions, there exists an interval of possible pricing at which the service reaches a level that is fairly stable.1. IntroductionParking policy is a direct and effective approach in traffic demand management [1]. It affects parking demand and travel state and helps ease parking difficulty and traffic in the central area of a city. However, predicting the actual benefits of the implementation of this policy is challenging. Thus, we should determine whether the new parking policy is more appropriate and effective than the currently implemented policy. Therefore, this study aims to analyze the influence of parking charge and supply policy on travel mode choice and road network state and to establish the relationship among parking policy, travel mode choice, and road network state.Parking policy is implemented in two mechanisms: by changing the level or structure of parking charges and by altering the supply of parking spaces [2]. Reasonable parking charge and supply help alleviate parking and driving difficulties in the city center. The structure of urban traffic is a consequence of the cost of the different travel choices. Strict parking policy with high charge and low supply can reduce the volume of cars in the central area on one hand, but the parking search time will be prolonged for its low parking supply. This condition results in partial traffic congestion and entails high charges. On the contrary, flexible policy with low charge and high supply can increase the volume of cars that enter the central area and may also increase traffic congestion.Parking policy has been extensively investigated in terms of its influence on various aspects and numerous advantages. The effects of parking policy not only on parking demand but also on the whole traffic system have also been widely explored.Parking charge and supply policy are considered as two essential factors that affect parking behavior. Different parking policies, trip structure, public transit, traffic facilities, and other factors can influence parking demand distribution [2, 3]. As the two main forms of parking policy, parking charge and supply policy significantly affect parking choice [4–6].The effects of parking charge and supply policy on traffic congestion have also been evaluated. Parking charge and supply are considered the second most effective tool to alleviate traffic congestion, and they are easier to be carried out compared with congestion charging [7, 8]. Arnott and Rowse [9] and Cutter and Franco [10], respectively, established the relationship model of parking and traffic congestion. Cruising time is also crucial when parking management and traffic condition are optimized on the basis of parking policy [11, 12] because cruising time is a relevant factor of traffic congestion [13]. These models reveal the relationship between parking policy and traffic congestion in different aspects, but road network state should be further evaluated on the basis of parking policy.Traditional four-stage modes or dynamic microsimulation models are costly and unsuitable for this study because parking policy implementation is a complicated process. Conversely, system dynamics [14, 15] is an approach to understand the nonlinear behavior of complex systems, and it is employed in public and private sectors for policy analysis and design. With its special advantages, a model with system dynamics is established to determine the complexity of parking policy and accept its dynamic characteristics. Bernardino and Hoofd [16] developed a model by applying system dynamics to assess the effectiveness of parking policy in predicting traffic congestion and speed, but this model has failed to quantify travel cost. The types of policies are mainly associated with parking price, whereas parking supply is rarely considered. Therefore, the present study explores the actual state of traffic in terms of the effects of parking charge and supply by using a discrete choice model. Our results will provide a scientific basis for traffic management.Different parking policies directly influence travel cost, which possibly affects the choice of travel mode and travel structure. Also, travel mode choice contributes to the condition of road network state, which also influences travel cost accordingly. Therefore, travel cost is related to travel mode choice and road network state. This study aims to evaluate the influence of parking policy on road network by identifying the relationship among the three factors.Travel cost is a decisive factor of trip decision and directly influences the choice of travel behavior. Since the 1970s, travel costs have been quantified in monetary terms [17]. On a microperspective, studies on travel cost aim to evaluate the traveler’s choice of travel mode. Travel time and travel cost are considered, and travel cost is calculated by using travel time values based on random utility theory in a travel mode choice model [18]. In addition to studies on the travel cost of one trip, research on travel cost quantification based on a trip chain has been performed [19].Since the early 1960s, factors influencing the changes in modes [2], especially between car and public transport modes, have been investigated. The main models include discriminant model [20], probit model [21], and logit model [5, 22]. The effects of policy or other factors on the choice of travel behavior have also been analyzed on the basis of a logit model.Travel mode directly affects the traffic flow on a road network and the state of the road network [23]. Changes in the travel mode choice can effectively alleviate regional traffic, and parking policy is an effective method to alter the travel mode choice [24].Therefore, this paper proposes a method to estimate the travel mode choice based on travel cost as influenced by parking policy. The travel cost of various travel modes is selected as basic variables, and travel mode choice is subjected to multivariate logit model analysis. A prediction method is also established to estimate the average speed of road network based on the current network speed, which greatly minimizes the difficulty in investigating the condition of network model calibration and evaluation. The proposed method can determine the dynamic travel cost, identify the travel choice for network speed prediction, and provide a scientific basis for parking demand management.The major contributions of this study are described as follows:(1)An evaluation model of the combined effects of parking charge and supply policy is proposed. The model contains three subsystems to calculate travel cost, make a travel choice based on travel mode, and evaluate the traffic state under parking policy.(2)The travel cost of each travel mode is chosen as the basic variable because travel cost is the basis for travel choice analysis, and the essential difference among various carriers is travel cost that includes direct and indirect costs.(3)This paper presents a method to predict the future road network speed after the new parking policy is implemented on the basis of the current traffic state. The model can continuously determine dynamic variables, such as travel cost and travel mode distribution, to predict road network speed, which provides a scientific basis for parking demand management.This paper is organized as follows. Section 2 describes the structure of the three subsystems in the evaluation model in detail. Section 3 verifies and discusses the effectiveness of the proposed method based on future parking policy simulation. Section 4 presents the conclusions.2. Model Development2.1. Parking Charge and Supply Policy Evaluation ModelThis model aims to study the state of traffic under the influence of parking charge and supply policy in a certain district. Usually, alleviating traffic congestion in the city center, especially in the center business district (CBD), is the purpose of related policies. So, the center business district is chosen as the study area.The effects on the traffic of the parking policy are complicated process, and the affected objects are potential parking lot users. The four-stage model is not suitable to analyze the effects of policy on the traffic system. But system dynamics make it possible to understand the complicated process. For its special advantages, a model using system dynamics that can capture the complexity of parking policy while accepting its dynamic characteristics is built in this paper.For the convenience of research, several assumptions are made in the evaluation model as follows:(1)The total travel demand in the study area is fixed, but the choice of travel modes is flexible.(2)There is no bus lane or rail transit in the study area; public transportation only contains bus transit.(3)The travel speeds of cars and buses interact with each other and are t

ACS Style

Zhenyu Mei; QiFeng Lou; Wei Zhang; Lihui Zhang; Fei Shi. Modelling the Effects of Parking Charge and Supply Policy Using System Dynamics Method. Journal of Advanced Transportation 2017, 2017, 1 -10.

AMA Style

Zhenyu Mei, QiFeng Lou, Wei Zhang, Lihui Zhang, Fei Shi. Modelling the Effects of Parking Charge and Supply Policy Using System Dynamics Method. Journal of Advanced Transportation. 2017; 2017 ():1-10.

Chicago/Turabian Style

Zhenyu Mei; QiFeng Lou; Wei Zhang; Lihui Zhang; Fei Shi. 2017. "Modelling the Effects of Parking Charge and Supply Policy Using System Dynamics Method." Journal of Advanced Transportation 2017, no. : 1-10.

Journal article
Published: 30 October 2014 in Promet - Traffic&Transportation
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Filtering the data for bicycle travel time using Bluetooth sensors is crucial to the estimation of link travel times on a corridor. The current paper describes an adaptive filtering algorithm for estimating bicycle travel times using Bluetooth data, with consideration of low sampling rates. The data for bicycle travel time using Bluetooth sensors has two characteristics. First, the bicycle flow contains stable and unstable conditions. Second, the collected data have low sampling rates (less than 1%). To avoid erroneous inference, filters are introduced to “purify” multiple time series. The valid data are identified within a dynamically varying validity window with the use of a robust data-filtering procedure. The size of the validity window varies based on the number of preceding sampling intervals without a Bluetooth record. Applications of the proposed algorithm to the dataset from Genshan East Road and Moganshan Road in Hangzhou demonstrate its ability to track typical variations in bicycle travel time efficiently, while suppressing high frequency noise signals.

ACS Style

Zhenyu Mei; Dianhai Wang; Jun Chen; Wei Wang. Investigation of Bicycle Travel Time Estimation Using Bluetooth Sensors for Low Sampling Rates. Promet - Traffic&Transportation 2014, 26, 383 -391.

AMA Style

Zhenyu Mei, Dianhai Wang, Jun Chen, Wei Wang. Investigation of Bicycle Travel Time Estimation Using Bluetooth Sensors for Low Sampling Rates. Promet - Traffic&Transportation. 2014; 26 (5):383-391.

Chicago/Turabian Style

Zhenyu Mei; Dianhai Wang; Jun Chen; Wei Wang. 2014. "Investigation of Bicycle Travel Time Estimation Using Bluetooth Sensors for Low Sampling Rates." Promet - Traffic&Transportation 26, no. 5: 383-391.

Journal article
Published: 20 May 2014 in KSCE Journal of Civil Engineering
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This paper presents a method to identify spillovers based on upstream fixed detector data, using occupancy per cycle as the determination index. The key idea of this new method is that when the queues extend to the detector position, there will be unusable green time to a certain degree, and the occupancy will be greater than a particular threshold. Firstly, this paper introduces traffic wave models modified by a kinematic equation, and provides a calculation method for the occupancy per cycle under different traffic conditions, based on the relationship between the three basic traffic flow parameters, speed, traffic flow, and density. Secondly, the threshold of occupancy, which characterizes the appearance of spillovers, is determined by the premise that the stopping and starting waves have the same speed, and then the accuracy of the new method are verified by VISSIM simulation, using the ratio of misjudgment as the evaluation index. Finally, the precision stability of the method is analyzed, and the results show that the precision of this method is affected by the the detector location and bus ratio insignificantly.

ACS Style

Dongfang Ma; Dianhai Wang; Yiming Bie; Sheng Jin; Zhenyu Mei. Identification of spillovers in urban street networks based on upstream fixed traffic data. KSCE Journal of Civil Engineering 2014, 18, 1539 -1547.

AMA Style

Dongfang Ma, Dianhai Wang, Yiming Bie, Sheng Jin, Zhenyu Mei. Identification of spillovers in urban street networks based on upstream fixed traffic data. KSCE Journal of Civil Engineering. 2014; 18 (5):1539-1547.

Chicago/Turabian Style

Dongfang Ma; Dianhai Wang; Yiming Bie; Sheng Jin; Zhenyu Mei. 2014. "Identification of spillovers in urban street networks based on upstream fixed traffic data." KSCE Journal of Civil Engineering 18, no. 5: 1539-1547.

Journal article
Published: 01 September 2013 in Journal of Highway and Transportation Research and Development (English Edition)
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ACS Style

Zhen Tan; Zhen-Yu Mei; Zhi-Yi Huang; Wan-Jing Ma. Optimal Cycle Model Based on Active Transit Signal Priority Strategies in Artery Coordination Systems. Journal of Highway and Transportation Research and Development (English Edition) 2013, 7, 76 -83.

AMA Style

Zhen Tan, Zhen-Yu Mei, Zhi-Yi Huang, Wan-Jing Ma. Optimal Cycle Model Based on Active Transit Signal Priority Strategies in Artery Coordination Systems. Journal of Highway and Transportation Research and Development (English Edition). 2013; 7 (3):76-83.

Chicago/Turabian Style

Zhen Tan; Zhen-Yu Mei; Zhi-Yi Huang; Wan-Jing Ma. 2013. "Optimal Cycle Model Based on Active Transit Signal Priority Strategies in Artery Coordination Systems." Journal of Highway and Transportation Research and Development (English Edition) 7, no. 3: 76-83.

Research article
Published: 26 January 2012 in Mathematical Problems in Engineering
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Operators of parking guidance and information systems (PGIS) often encounter difficulty in determining when and how to provide reliable car park availability information to drivers. Reliability has become a key factor to ensure the benefits of urban PGIS. The present paper is the first to define the guiding parking reliability of urban parking variable message signs (VMSs). By analyzing the parking choice under guiding and optional parking lots, a guiding parking reliability model was constructed. A mathematical program was formulated to determine the guiding parking reliability of VMS. The procedures were applied to a numerical example, and the factors that affect guiding reliability were analyzed. The quantitative changes of the parking berths and the display conditions of VMS were found to be the most important factors influencing guiding reliability. The parking guiding VMS achieved the best benefit when the parking supply was close to or was less than the demand. The combination of a guiding parking reliability model and parking choice behavior offers potential for PGIS operators to reduce traffic congestion in central city areas.

ACS Style

Zhenyu Mei; Ye Tian; Dongping Li. Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System. Mathematical Problems in Engineering 2012, 2012, 1 -10.

AMA Style

Zhenyu Mei, Ye Tian, Dongping Li. Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System. Mathematical Problems in Engineering. 2012; 2012 ():1-10.

Chicago/Turabian Style

Zhenyu Mei; Ye Tian; Dongping Li. 2012. "Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System." Mathematical Problems in Engineering 2012, no. : 1-10.

Journal article
Published: 19 September 2011 in EURASIP Journal on Wireless Communications and Networking
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Operators of parking guidance and information (PGI) systems often have difficulty in providing the best car park availability information to drivers in periods of high demand. A new PGI configuration model based on the optimized combination method was proposed by analyzing of parking choice behavior. This article first describes a parking choice behavioral model incorporating drivers perceptions of waiting times at car parks based on PGI signs. This model was used to predict the influence of PGI signs on the overall performance of the traffic system. Then relationships were developed for estimating the arrival rates at car parks based on driver characteristics, car park attributes as well as the car park availability information displayed on PGI signs. A mathematical program was formulated to determine the optimal display PGI sign configuration to minimize total travel time. A genetic algorithm was used to identify solutions that significantly reduced queue lengths and total travel time compared with existing practices. These procedures were applied to an existing PGI system operating in Deqing Town and Xiuning City. Significant reductions in total travel time of parking vehicles with PGI being configured. This would reduce traffic congestion and lead to various environmental benefits.

ACS Style

Zhenyu Mei; Ye Tian. Optimized combination model and algorithm of parking guidance information configuration. EURASIP Journal on Wireless Communications and Networking 2011, 2011, 1 .

AMA Style

Zhenyu Mei, Ye Tian. Optimized combination model and algorithm of parking guidance information configuration. EURASIP Journal on Wireless Communications and Networking. 2011; 2011 (1):1.

Chicago/Turabian Style

Zhenyu Mei; Ye Tian. 2011. "Optimized combination model and algorithm of parking guidance information configuration." EURASIP Journal on Wireless Communications and Networking 2011, no. 1: 1.

Journal article
Published: 28 February 2010 in Journal of Transportation Systems Engineering and Information Technology
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ACS Style

Zhenyu Mei; Yiqiang Xiang; Jun Chen; Wei Wang. Optimizing Model of Curb Parking Pricing Based on Parking Choice Behavior. Journal of Transportation Systems Engineering and Information Technology 2010, 10, 99 -104.

AMA Style

Zhenyu Mei, Yiqiang Xiang, Jun Chen, Wei Wang. Optimizing Model of Curb Parking Pricing Based on Parking Choice Behavior. Journal of Transportation Systems Engineering and Information Technology. 2010; 10 (1):99-104.

Chicago/Turabian Style

Zhenyu Mei; Yiqiang Xiang; Jun Chen; Wei Wang. 2010. "Optimizing Model of Curb Parking Pricing Based on Parking Choice Behavior." Journal of Transportation Systems Engineering and Information Technology 10, no. 1: 99-104.