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Journal ArticleDOI

Evaluation of right-turn lanes at signalized intersection in non-lane-based heterogeneous traffic using microscopic simulation model

01 Mar 2015-Transportation Letters: The International Journal of Transportation Research (Taylor & Francis)-Vol. 7, Iss: 2, pp 61-72

Abstract: In developing countries like India, the traffic on urban roads is highly heterogeneous in nature, with vehicles of widely varying static and dynamic characteristics. This type of traffic is characterized by lack of queue and lane discipline (lane-less movement) based on availability of spaces near intersections. Moreover, at intersections, straight-through, left-, and right-turning vehicles seek to occupy the same physical space. In such situations, the through vehicles are susceptible to delays in the absence of turn lanes for the left-turning and right-turning vehicles and vice versa. Models suitable for analysis of such traffic flow hardly exist, and most of the available models are limited in scope. In the current study, a microscopic traffic simulation model for signalized intersection is developed specifically for heterogeneous traffic. This model covers different vehicle types and allows for some special behavior, such as seepage of two-wheelers to fronts of queues. Detailed study of queue formation and dissipation were done microscopically under non-lane-based traffic conditions near intersection area. The model was calibrated and tested with data from Chennai city, India, and its predictions were found to be in close agreement with the field data. In addition, the model makes a significant contribution to the study of right-turn lane (RTL) on delays to vehicles. In general, RTL is found to be advantageous for most cases of approach volumes and right-turn proportions. The optimal lengths of RTL are suggested for various approach volumes and right-turn proportions.
Topics: Traffic flow (58%), Traffic simulation (55%), Poison control (50%)
Citations
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Journal ArticleDOI
Jingxu Chen1, Zhibin Li2, Wei Wang2, Hang Jiang3Institutions (3)
TL;DR: Investigation of the bicycle–vehicle conflicts in different traffic situations and how those conflicts increase travel delay shows that there are mainly two types of conflicts between bikes and vehicles, namely the frictional conflicts and blocking conflicts.
Abstract: Spaces for cycling on urban streets are usually limited especially when on-street parking vehicles exist. As bicycle flow increases, some bikes are forced to run closely to automobiles resulting in conflicts between different road users and travel delay. This study aims to investigate the bicycle–vehicle conflicts in different traffic situations and how those conflicts increase travel delay. To this end, the cellular automation (CA) model is developed and calibrated to simulate the maneuvers of bikes and vehicles. Results show that there are mainly two types of conflicts between bikes and vehicles, namely the frictional conflicts and blocking conflicts. The frequency of the two conflicts is affected by the density of bicycle and vehicle traffic as well as the width of bike lane. Vehicular delays are evaluated for different traffic situations with the consideration of different occupations of parked vehicles. Policy suggestions regarding the bike lane design and parking hour permit are discussed to...

35 citations


Cites methods from "Evaluation of right-turn lanes at s..."

  • ...Previous researchers have used many simulation models to evaluate the bicycle traffic flow (Garder, Leden, and Pulkkinen 1998; Yao et al. 2009; Yu, Du, and Jiang 2010; Chen and Shao 2014; Huang 2014; Gowri and Sivanandan 2015)....

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Journal ArticleDOI
Jingxu Chen1, Zhibin Li1, Hang Jiang1, Senlai Zhu1  +1 moreInstitutions (1)
TL;DR: The objective of this study is to estimate the impacts of on-street parking on heterogeneous traffic operation on urban streets, and a cellular automaton model is developed and calibrated to simulate bicycle lane-changing on streets with on- street parking.
Abstract: In recent years, many bicycle lanes on urban streets are replaced with vehicle parking places. Spaces for bicycle riding are reduced, resulting in changes in bicycle and vehicle operational features. The objective of this study is to estimate the impacts of on-street parking on heterogeneous traffic operation on urban streets. A cellular automaton (CA) model is developed and calibrated to simulate bicycle lane-changing on streets with on-street parking. Two types of street segments with different bicycle lane width are considered. From the simulation, two types of conflicts between bicycles and vehicles are identified which are frictional conflicts and blocking conflicts. Factors affecting the frequency of conflicts are also identified. Based on the results, vehicle delay is estimated for various traffic situations considering the range of occupancy levels for on-street parking. Later, a numerical network example is analyzed to estimate the network impact of on-street parking on traffic assignment and operation. Findings of the study are helpful to policies and design regarding on-street vehicle parking to improve the efficiency of traffic operations.

19 citations


Journal ArticleDOI
Jing Zhao1, Yue Liu2, Di Di3Institutions (3)
Abstract: Continuous flow intersection (CFI) is a potential treatment to relieve traffic congestion at intersections. Conventional geometric design and signal timing of CFI are usually performed in a trial-and-error way, which may not always yield the truly optimal design. In this paper, an integrated optimization model for design of lane markings, the distances between the crossovers and the main intersection, and signal timings are proposed for the full CFI. The optimization problem is formulated as a mixed-integer non-linear programming problem, which is further transformed into a series of mixed-integer linear programming models and solved by the standard branch-and-bound technique. Numerical analysis results further validate the effectiveness and applicability of the proposed model.

12 citations


Cites background from "Evaluation of right-turn lanes at s..."

  • ...When intersections are highly congested, conventional measures such as traffic signal control (Webster, 1958; Silcock, 1997; Gowri and Sivanandan, 2015) may not be sufficient to relieve congestion....

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Journal ArticleDOI
Dibyendu Pal1, Mallikarjuna Chunchu2Institutions (2)
31 Jul 2019-
Abstract: Vehicular movement in heterogeneous traffic stream with no-lane-disciplined is not only influenced by the characteristics of the leading vehicle but also by the presence of the adjacent vehicles. In such scenario, lateral gap maintaining behavior plays a significant role in the vehicular movement. Field data analyses show that there is a wide variation in the total lateral gaps, even for a particular combination of passing/overtaking vehicle and both the adjacent vehicles. Speed and type of the passing/overtaking vehicle and the speed and type of both the adjacent vehicles were found to be having a significant influence on the total lateral gaps. The variability in the critical total lateral gaps has been explained using the variables such as the speed and type of the subject vehicle, as well as the adjacent vehicles. Developed models were found to be statistically significant in replicating the field observed total lateral gaps corresponding to various types of vehicles. The impact of different l...

11 citations


Cites background from "Evaluation of right-turn lanes at s..."

  • ...…modeling the vehicular movement in the no-lane-disciplined heterogeneous traffic stream (Chakroborty, Agrawal, and Vasishtha 2004; Arasan and Koshy 2005; Gunay 2007; Mallikarjuna 2007; Dey, Chandra, and Gangopadhyay 2008; Gowri and Sivanandan 2015; Arkatkar et al. 2016; Bharadwaj et al. 2016)....

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Journal ArticleDOI
Pengcheng Wang1, Guizhen Yu1, Xinkai Wu1, Yunpeng Wang1  +1 moreInstitutions (2)
TL;DR: An analytical model, named vehicular malicious information propagation (VMIP), which integrates a classical epidemic model through two‐layer system structure, in which the upper layer describes the malicious information spreading and the lower describes the traffic flow dynamics is introduced.

10 citations


References
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Journal ArticleDOI
Henry X. Liu1, Xueyuan Wu1, Weijing Ma1, Heng Hu1Institutions (1)
TL;DR: This paper solves the problem of measuring intersection queue length by exploiting the queue discharge process in the immediate past cycle by using high-resolution "event-based" traffic signal data and applying Lighthill-Whitham-Richards shockwave theory.
Abstract: How to estimate queue length in real-time at signalized intersection is a long-standing problem. The problem gets even more difficult when signal links are congested. The traditional input-output approach for queue length estimation can only handle queues that are shorter than the distance between vehicle detector and intersection stop line, because cumulative vehicle count for arrival traffic is not available once the detector is occupied by the queue. In this paper, instead of counting arrival traffic flow in the current signal cycle, we solve the problem of measuring intersection queue length by exploiting the queue discharge process in the immediate past cycle. Using high-resolution "event-based" traffic signal data, and applying Lighthill-Whitham-Richards (LWR) shockwave theory, we are able to identify traffic state changes that distinguish queue discharge flow from upstream arrival traffic. Therefore, our approach can estimate time-dependent queue length even when the signal links are congested with long queues. Variations of the queue length estimation model are also presented when "event-based" data is not available. Our models are evaluated by comparing the estimated maximum queue length with the ground truth data observed from the field. Evaluation results demonstrate that the proposed models can estimate long queues with satisfactory accuracy. Limitations of the proposed model are also discussed in the paper.

324 citations


"Evaluation of right-turn lanes at s..." refers background in this paper

  • ...…out to determine maximum traffic flow, delays, queue length, driver and vehicular traffic characteristics, etc. for signalized intersections under homogeneous traffic flow characteristics (e.g., Kim and Benekohal, 2005; Sharma et al., 2007; Liu et al., 2009; Chang et al., 2013; Wu and Yang, 2013)....

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Journal ArticleDOI
TL;DR: Two techniques are presented for real-time measurement of vehicledelay and queue length at a signalized intersection, and these automated delay and queue estimates are compared with manually ground-truthed measurement.
Abstract: Vehicle delay and queue length are quantitative measures of intersection performance. The technological advancement in the field of vehicle sensors and traffic controllers has reached a point where it has enabled efficient measurement of these performance measures. Two techniques are presented for real-time measurement of vehicle delay and queue length at a signalized intersection, and these automated delay and queue estimates are compared with manually ground-truthed measurement. These techniques were evaluated at an instrumented intersection in Noblesville, Indiana. The root-mean-square error by both techniques was below 0.7 veh-s for estimation of average delay and less than 0.15 vehicle for estimation of average maximum queue length, both on a cycle-by-cycle basis.

161 citations


"Evaluation of right-turn lanes at s..." refers background in this paper

  • ...for signalized intersections under homogeneous traffic flow characteristics (e.g., Kim and Benekohal, 2005; Sharma et al., 2007; Liu et al., 2009; Chang et al., 2013; Wu and Yang, 2013)....

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  • ...…out to determine maximum traffic flow, delays, queue length, driver and vehicular traffic characteristics, etc. for signalized intersections under homogeneous traffic flow characteristics (e.g., Kim and Benekohal, 2005; Sharma et al., 2007; Liu et al., 2009; Chang et al., 2013; Wu and Yang, 2013)....

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Journal ArticleDOI
Byungkyu Park1, Hongtu QiInstitutions (1)
TL;DR: This paper proposes a procedure for microscopic simulation model calibration and demonstrated the validity of the proposed procedure by use of a case study of an actuated signalized intersection by using a widely used microscopic traffic simulation model, Verkehr in Staedten Simulation (VISSIM).
Abstract: Microscopic traffic simulation models have been playing an important role in the evaluation of transportation engineering and planning practices for the past few decades, particularly in cases in which field implementation is difficult or expensive to conduct. To achieve high fidelity and credibility for a traffic simulation model, model calibration and validation are of utmost importance. Most calibration efforts reported in the literature have focused on the informal practice, and they have seldom proposed a systematic procedure or guideline for the calibration and validation of simulation models. This paper proposes a procedure for microscopic simulation model calibration. The validity of the proposed procedure was demonstrated by use of a case study of an actuated signalized intersection by using a widely used microscopic traffic simulation model, Verkehr in Staedten Simulation (VISSIM). The simulation results were compared with multiple days of field data to determine the performance of the calibrate...

134 citations


Journal ArticleDOI
TL;DR: A methodology for representing nonlane-based driving behavior and calibrating a microsimulation model for highly heterogeneous traffic at signalized intersection is proposed and the optimum values for these parameters were obtained by minimizing the error between the simulated and field delay using genetic algorithm.
Abstract: A significant part of the world, especially in most of the Asian countries, has heterogeneous traffic characterized by diverse vehicles, changing composition, lack of lane discipline, etc., resulting in a very complex behavior. Microsimulation is, therefore, highly suited to model such traffic. However, these models need to be calibrated before their application. Although several studies have been reported in the literature on the methodologies for calibration, all of them have focused on homogeneous traffic conditions having good lane discipline. In highly heterogeneous traffic, several other factors such as traffic composition and static and dynamic characteristics of vehicles have to be considered in the calibration process. Moreover, side-by-side stacking of vehicles across the road width occurring in the absence of lane discipline should also be modeled. Hence, a methodology for representing nonlane-based driving behavior and calibrating a microsimulation model for highly heterogeneous traffic at signalized intersection is proposed. Calibration parameters were identified using sensitivity analysis, and the optimum values for these parameters were obtained by minimizing the error between the simulated and field delay using genetic algorithm. The proposed methodology is illustrated using Verkehr in Staedten simulation, a widely used psychophysical car-following model based microsimulation software. Signalized intersections having diverse traffic and geometric characteristics from two cities of India are taken as a case study.

111 citations


"Evaluation of right-turn lanes at s..." refers methods in this paper

  • ...Applicability of VISSIM model for heterogeneous traffic conditions was studied by Mathew and Radhakrishnan (2010)....

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  • ...%) as proposed by Dowling et al. (2004) and Mathew and Radhakrishnan (2010)....

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Journal ArticleDOI
Zong Tian1, Zong Tian2, Ning Wu2, Ning Wu1Institutions (2)
TL;DR: The proposed model overcomes one of the major shortcomings of the current capacity estimation methodologies by considering the probabilistic nature of traffic flow and the effect of queue blockage to the short-lane section to achieve capacity enhancement with a short right-turn lane.
Abstract: The paper presents a capacity estimation model for a signalized intersection approach with a short right-turn lane. The proposed model overcomes one of the major shortcomings of the current capacity estimation methodologies by considering the probabilistic nature of traffic flow and the effect of queue blockage to the short-lane section. The research showed that the capacity of a signalized intersection with a short right-turn lane is strongly related to the length of the short lane, the proportion of through and right-turn vehicles, and cycle length. The study also revealed new findings, through simulation, on the saturation flow rate discharging from the single-lane section where the right-turn lane splits. It was found that the saturation flow rate increases with the increase of the length of the right-turn lane. The proposed model was validated against the results from CORSIM, a microscopic traffic simulation model, and found general agreement between the two results. Capacity enhancement is achieved with a short right-turn lane compared to the shared-lane situation. Such a capacity enhancement is contributed by both the short-lane usage and the increased saturation flow rate from the single-lane section. An example of a common application of the proposed model is to provide adequate design of the length of the right-turn lane so that the projected traffic demand can be accommodated at an acceptable service level while minimizing the cost associated with the construction of a full or longer right-turn lane.

69 citations


"Evaluation of right-turn lanes at s..." refers background in this paper

  • ...…of control measures (shared and exclusive turn lanes) on signalized intersection operations; again, these are for homogeneous traffic conditions (e.g., Fitzpatrick et al., 2006; Tian and Wu, 2006; Potts et al., 2007; Yang, 2008; Kikuchi and Kronprasert, 2010; Qi et al., 2012; Chai and Wong, 2013)....

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  • ...Several studies have been carried out to address the effect of control measures (shared and exclusive turn lanes) on signalized intersection operations; again, these are for homogeneous traffic conditions (e.g., Fitzpatrick et al., 2006; Tian and Wu, 2006; Potts et al., 2007; Yang, 2008; Kikuchi and Kronprasert, 2010; Qi et al., 2012; Chai and Wong, 2013)....

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No. of citations received by the Paper in previous years
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20213
20204
20192
20181
20171
20161