Modelling traffic flow emissions at signalized intersection with PTV vissim

The effect of roadway intersection design is strictly linked to a reduction in traffic congestion, fuel consumption and emissions in an urban area. This paper presents a comparative result of the typical four-legged intersection and roundabout operational performance for effective management. Accordingly, a computer model for estimation traffic emissions for two kinds of intersections is created. This study presents a detailed analysis and modelling traffic flow emissions using PTV vissim software and methodology with reasonable solutions to plan a road intersection

Microscopic Simulation On The Operation And Capacity Of Toll Plaza In Malaysia

Microscopic traffic simulation software has several applications, such as performance evaluation, plan improvements, traffic operation control, design, and transportation facility management. This study presents the application of the well-known traffic simulation software VISSIM in the operation of toll plazas in Malaysia. This study evaluates the overall toll operation of two types of closed system toll plazas in the Malaysian expressway to gain insight into the variables that influence toll operations, which in turn affect the actual capacity of toll plazas in terms of average and maximum queue length. VISSIM was used to build toll plaza models for the mainline and ramp toll plazas which are Juru and Jawi respectively, to study their toll operations and actual capacities. In order to simulate the toll operations at toll plazas, microscopic data were obtained for each vehicle arriving and departing the toll plazas through video recordings. Video recordings were taken from two sources. The first source was from the installed CCTV and the second source was from the PLUS CCTV cameras at the tollbooths. The collected field data of the Juru and Jawi toll plazas differed in terms of number of lanes, lane configuration, toll base fee, expressway location, traffic demand, and traffic composition characteristics. The toll plaza models were then calibrated according to the measure of effectiveness and key parameter to match real world toll operations at toll plazas. Results revealed that service time is the most important parameter for evaluating the toll operation of toll plazas. Moreover, service time for entry is much lower than the service time for exit. The findings indicated that the percentage of heavy vehicles in traffic flow has a significant impact on the queue lengths at the Juru and Jawi toll plazas. Apart from that, the models were used to predict the operation of toll plazas in the future upon implementation of full electronic toll collection (ETC). The results indicated that the implementation of full ETC at the entry of both the Juru and Jawi toll plazas did not improve the operations of the toll plazas. However, the implementation of full ETC at the exit significantly improved the toll operations. But, the implementation of full ETC at the exit of the Jawi toll plaza has negatively influenced the queue lengths of Touch 'n Go and Smart TAG lanes due to the location of the signalised intersection which is near to Jawi toll plaza. The study has managed to contribute to two major findings at the traffic operations at toll plaza. The first contribution is on the prediction of traffic operation at the toll plaza in the future after the implementation of full electronic toll collection system at conventional toll plazas. The second contribution is on the estimation of the actual capacity of the conventional toll plazas

The impact of autonomous vehicles on highway tunnel work zones

In the transition step to the near future where autonomous vehicles fill the highways, the autonomous vehicles’ successful implementation counts on knowledge about their interaction with conventional vehicles. Due to the lack of numbers of the autonomous vehicles on roadways, many transportation professionals depend on simulations in order to examine the coexistence of both vehicle types and their interaction in the circumstance of higher market penetration rates of the autonomous vehicles. In this study, VISSIM microscopic simulator is used for inspecting the autonomous vehicles interactions and assessing their impacts on traffic stream. A case study that evaluates the effects on vehicles throughput, delay, queue length, and safety at the highway work zone merging area is investigated. The simulation was generated the proximity of the Louis-Hippolyte La Fontaine tunnel, which connects Boucherville and Montréal island. To simulate coexist periods, the autonomous vehicles were put into the simulation with different penetration rates starting at 20% and increasing 20% for each scenario until reaching 80% of the rates of the autonomous vehicles. Furthermore, the safety impact of the autonomous vehicles in the matter of conflicts was studied using the Surrogate Safety Assessment Model (SSAM). The simulation results showed that the tunnel work zone’s capacity per lane was increased when CAVs were added to the simulation. The average vehicle delay did not improve a low CAV penetration rates. However, as CAVs account for more than 40% of the total passenger vehicles, the vehicle delay improved. The simulated model also showed that the average queue length increased with the increase of CAV in the traffic stream. Nonetheless, the conflict analysis results proved that CAVs can improve overall traffic safety at the work zone

TraInterSim: Adaptive and Planning-Aware Hybrid-Driven Traffic Intersection Simulation

Traffic intersections are important scenes that can be seen almost everywhere in the traffic system. Currently, most simulation methods perform well at highways and urban traffic networks. In intersection scenarios, the challenge lies in the lack of clearly defined lanes, where agents with various motion plannings converge in the central area from different directions. Traditional model-based methods are difficult to drive agents to move realistically at intersections without enough predefined lanes, while data-driven methods often require a large amount of high-quality input data. Simultaneously, tedious parameter tuning is inevitable involved to obtain the desired simulation results. In this paper, we present a novel adaptive and planning-aware hybrid-driven method (TraInterSim) to simulate traffic intersection scenarios. Our hybrid-driven method combines an optimization-based data-driven scheme with a velocity continuity model. It guides the agent's movements using real-world data and can generate those behaviors not present in the input data. Our optimization method fully considers velocity continuity, desired speed, direction guidance, and planning-aware collision avoidance. Agents can perceive others' motion planning and relative distance to avoid possible collisions. To preserve the individual flexibility of different agents, the parameters in our method are automatically adjusted during the simulation. TraInterSim can generate realistic behaviors of heterogeneous agents in different traffic intersection scenarios in interactive rates. Through extensive experiments as well as user studies, we validate the effectiveness and rationality of the proposed simulation method.Comment: 13 pages, 12 figure

Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

The paper deals with traffic simulation within roundabouts when both “connected and automated vehicles” (CAVs) and human-driven cars are present. The aim is to present the past, current and future research on CAVs running into roundabouts within the Cooperative, Connected and Automated Mobility (CCAM) framework. Both microscopic traffic simulations and virtual reality simulations by dynamic driving simulators will be considered. The paper is divided into five parts. At first, the literature is analysed using the Systematic Literature Review (SLR) methodology based on Scopus database. Secondly, the influence of CAVs on roundabout-specific design features and configuration is analysed. Gap-acceptance models used to define the capacity of the roundabout, one of its most important key performance indicators, are also presented. Third, the most common simulation software are described and analysed in terms of traffic demand implementation. Then the communication approaches and path management algorithms are studied. An example is proposed on the integration of microscopic traffic simulations and dynamic driving simulators virtual reality simulations. Finally, car following models suitable for roundabout traffic are discussed. There is still a gap between simulations and actual experience. There are reasonable doubts on how modelling and optimizing CAVs’ behaviour into roundabouts in view of CCAM. It seems that Cooperative, Connected and Automated Vehicles (CCAVs), more than simply Connected and Automated Vehicles (CAVs), could optimise traffic flow, safety and driving comfort within the roundabout. A very promising technology for traffic simulation within the roundabout seems the one based on dynamic driving simulators

Modelling shared space users via rule-based social force model

The promotion of space sharing in order to raise the quality of community living and safety of street surroundings is increasingly accepted feature of modern urban design. In this context, the development of a shared space simulation tool is essential in helping determine whether particular shared space schemes are suitable alternatives to traditional street layouts. A simulation tool that enables urban designers to visualise pedestrians and cars trajectories, extract flow and density relation in a new shared space design and achieve solutions for optimal design features before implementation. This paper presents a three-layered microscopic mathematical model which is capable of representing the behaviour of pedestrians and vehicles in shared space layouts and it is implemented in a traffic simulation tool. The top layer calculates route maps based on static obstacles in the environment. It plans the shortest path towards agents' respective destinations by generating one or more intermediate targets. In the second layer, the Social Force Model (SFM) is modified and extended for mixed traffic to produce feasible trajectories. Since vehicle movements are not as flexible as pedestrian movements, velocity angle constraints are included for vehicles. The conflicts described in the third layer are resolved by rule-based constraints for shared space users. An optimisation algorithm is applied to determine the interaction parameters of the force-based model for shared space users using empirical data. This new three-layer microscopic model can be used to simulate shared space environments and assess, for example, new street designs

2021 International Symposium on Transportation Data and Modelling

This project partially sponsored the organization of the 2021 International Symposium on Transportation Data and Modeling(ISTDM 2021), which aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of bigdata, modeling and simulation to advance transportation research to support the connected, cooperative and automated mobility.Due to the COVID-19 pandemic, the conference was held virtually June 21-24, 2021. Its program consisted of 8 keynote talks, and104 regular or lightning talks. It attracted more than 1,100 registrations, and the accumulated number of attendees was more than2960.U.S. Department of Transportation Office of the Assistant Secretary for Research and Technology 1200 New Jersey Avenue, SE Washington, DC 20590http://deepblue.lib.umich.edu/bitstream/2027.42/168542/1/2021_08_06 - 2021 International Symposium on Transportation Data and Modelling Final Report.pdfDescription of 2021_08_06 - 2021 International Symposium on Transportation Data and Modelling Final Report.pdf : Final ReportSEL