Simple Intersection Research Articles

Coverage Analysis for Elliptical-Orbit Satellites Based on 2-D Map

This paper proposes a geometric-based method of the ground-point visibility from a satellite or satellite constellation in elliptical orbit considering the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">J</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> perturbation. First, the field-element equations describing the relationship between the elliptical satellite orbit, field parameters, and ground point are introduced and can be solved semi-analytically. Also, using a two-dimensional map composed of the mean argument of latitude and geographic longitude of the ascending node, the problem of calculating visible intervals is transformed into a simple intersection problem of a group of parallel lines and a time-invariant region generated by the field-element equations. Furthermore, based on the geometric relationship between any two satellites, the relative field mapping and constellation field mapping are described, which can simplify the multi-satellite coverage problem to a single-satellite coverage problem and can be used to obtain the coverage performance of the constellation analytically and rapidly for the target. The simulation results demonstrate that the proposed method is rapid, efficient, intuitive, and accurate, suggesting its wide applications in constellation studies <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">.</b>

Implementation of Traffic Light Controlling System for a Simple Intersection with VHDL using Quartus II

In the era of urbanization in the 21st century, the number of vehicles on the road has increased drastically to cope with the increased population of the city which directly affects the traffic on the street and more importantly on intersections. Automatic traffic signaling system can plays a vital role to mitigate vehicle congestion in the critical intersections of the busy roads. To ensure hassle free mobility of vehicles in the intersection on the street, the appropriate traffic signal lights are necessary that coordinate traffic in various directions on the streets. A simple intersection on the road is considered for the simulation of traffic signaling system. VHDL code was written in Quartus II to implement traffic light system for specific intersections on the road. The vehicles are always moving on the main road, meaning green light is always ‘1’ until there are vehicles approaching the side road. When the vehicles arrive on the side road which is sensed by sensor, then the traffic controller takes the initiative to schedule the traffic light, from green to red light in the main road and red to green light in the side road. The proposed traffic signaling system works properly, which is verified during simulation. In this paper, simple intersection is considered due to simple design and easy implementation.

Geometric-Based Method for Regional-Target Coverage Analysis

This study proposes a geometric-based method of providing regional target visibility from a satellite considering the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$J_2$</tex-math></inline-formula> perturbation. First, the basic mathematical model is introduced followed by the field-element equations for ground-point visibility analysis and envelope equations of a family of curves. Then, the concept of a regional-field-mapping envelope and its subset baseline field-mapping envelope are presented for calculating visible intervals. The envelopes transform the complex problem of calculating a visible interval into a simple intersection problem for a group of parallel lines representing a satellite's trajectory and the regional-field-mapping envelope. Based on the analytical partial differential of the field-element equations, the baseline-field-mapping envelope for smooth and non-smooth field of views can be rapidly calculated where the regional-field-mapping envelope can be obtained by splicing the baseline-field-mapping envelopes. The simulation results show that the proposed method is rapid, accurate, and intuitive, demonstrating its wide applications for regional-target coverage analysis.

A Comparative Analysis of Computer Vision Libraries in the Context of a Jakarta Traffic Simulator

Traffic management is essential for preventing traffic congestion and regulating traffic flow. Jakarta has implemented several methods to reduce traffic congestion in response to the growing number of vehicles on the road. This study proposes integrating computer vision and fuzzy logic into traffic lights for use in traffic management. The study focuses on comparing and implementing three computer vision libraries: ImageAI, Cloud Vision, and OpenCV Libraries. This comparison is based on Jakarta traffic data captured by closed-circuit television (CCTV). After evaluating the libraries, the result indicates the ImageAI achieves better performance than the other libraries across testing measurements and it was used to develop a module simulator. This simulator was used to compare the amber time produced by each lane at a simple intersection under fixed time versus proposed-actuated traffic lights. The simulation of the proposed actuated traffic light scenario demonstrates that the use of computer vision and fuzzy logic in the decision-making process can marginally improve traffic simulation compared to the fixed-time traffic light scenario. This study illustrates the application of computer vision and fuzzy logic to traffic management. The application of these technologies to traffic lights has the potential to increase traffic flow and decrease congestion.

Using Google Earth Imagery to Target Assessments of Ephemeral Gully Erosion

HighlightsTested the utility of Google Earth and other imagery to target the location of ephemeral gullies.Developed a targeting methodology and tested it based on a ground truth obtained using a UAV.Quantified the overlap of targeted areas with observed ephemeral gullies.These publicly available sources of imagery had a high degree of success in identifying where ephemeral gullies form.Abstract. Sustaining civilizations requires preventing the loss of agricultural topsoil through processes such as water and wind erosion. Ephemeral gully erosion contributes an estimated 40% of the total water-erosion soil loss from row-crop fields. The identification and tracking of gullies require monitoring fields over time; Google Earth provides high-quality imagery that can potentially meet both the temporal and spatial criteria for ephemeral gully monitoring. Our primary objective was to determine the probability that an ephemeral gully erosion feature could be reliably identified as an area of concern based on Google Earth imagery and/or other publicly available remotely sensed imagery. To develop the ground truth, we visited 72 fields in seven Missouri counties between mid-April and mid-June in 2018 (n = 26), 2019 (n = 21), and 2020 (n = 25) to verify the presence of erosion features. An unmanned aerial vehicle (UAV) was used to collect aerial imagery with an estimated ground sampling distance of 2.1 to 2.7 cm pixel-1 from all locations. From this imagery, ephemeral gullies were observed in 24 of the fields, and all ephemeral gullies in those fields were delineated. We then reviewed all imagery available in Google Earth from 2010 to 2020 for the 24 fields where ephemeral gullies were observed, delineating ephemeral gully features using a “definitive” and a “less stringent” criterion; we also evaluated 2008 and 2015 imagery from a second public source. In the first analysis, one random erosion feature was chosen from each field, and the percentage overlap of lines derived from publicly available information with the ground truth was determined. Combining all imagery sources, using the less stringent method of delineation, and applying a 15-m buffer resulted in a mean overlap rate of 91%. These results were superior to the definitive approach, as well as using a 3-m buffer. In a second analysis, we tested definitive and less stringent criteria in the field for simple intersection with the ground truth. The less stringent strategy, coupled with using a 15-m buffer, had a true positive rate of 81% and identified 100% of the ephemeral gullies at 63% of the locations. There were false positives in 38% of the fields, with a mean rate across locations of 15%. Adding public data from other sources improved the true positive rate while also increasing the false negative rate. At one location, all publicly available image sources failed to identify the single ephemeral gully in the field. This research represents a proof of concept that Google Earth and other publicly available imagery of sufficient quality can be used to target in-field ephemeral gully assessment in row crop fields in the humid regions of the US. Validation work is needed before this approach can be broadly adopted with confidence, given the many uncontrollable factors that can affect the efficacy of this approach. Keywords: Aerial imagery, Conservation compliance, Ephemeral gully, Remote sensing, Soil erosion.

A Queueing Model for Traffic Flow Control in the Road Intersection

In this paper, we consider a simple road intersection with traffic light control and suggest a queueing model for the traffic flow in the intersection. The suggested model implements the well-known queue with state-dependent departure rates. Using this model, we define optimal state-dependent scheduling of the traffic lights in the intersection and consider its properties. Activity of the model is illustrated by numerical simulations. It is demonstrated that in practical conditions the suggested scheduling of the traffic lights allows the prevention of traffic jams in the intersection and resolves vehicles queues with reasonable waiting times in the crossing lanes.

An algorithm for identifying reference signals under the environment of complex fuzzy sets

In this paper, we have discussed some new operations and results of set theory for complex fuzzy sets (CFSs). Moreover, we developed the basic results of CFSs under the basic operations such as complex fuzzy simple difference, bounded sum, bounded difference, dot product, bounded product, union, intersection, and Cartesian product. We explored the CFSs and discussed the related properties with examples such as complex fuzzy bounded sum over the intersection, complex fuzzy dot product over the union, etc. Identifying the reference signals under the environment of CFSs have always been a challenging. Many algorithms based on set theoretic operations and distance measures have been proposed for identifying a reference signal using any common system. But linear time invariant (LTI) system is considered easy to analyze the linear and time-varying signals. We used CFSs in signals and systems. We developed an algorithm based on convolution product and LTI system under the complex fuzzy environment. We identified a high degree of resemblance (reference signal) of the received signals to the reference signal in a linear time-invariant (LTI) system that receives an input signal and produces an output signal.

Learning Automated Driving in Complex Intersection Scenarios Based on Camera Sensors: A Deep Reinforcement Learning Approach

Making proper decisions at intersections that are one of the most dangerous and sophisticated driving scenarios is full of challenges, especially for autonomous vehicles (AVs). The existing decision-making approaches for AVs at intersections are limited as they only consider driving safety in simple intersection scenarios while sacrificing travel efficiency and driving comfort. To solve this issue, a decision-making structure motivated by deep reinforcement learning was proposed for autonomous driving at complex intersection scenarios based on long short-term memory (LSTM). The mapping relationship between traffic images collected from camera sensors and AVs’ actions was established by constructing convolutional-recurrent neural networks in a decision-making framework. Traffic images collected from camera sensors at two different timesteps were used to understand the relative motion information between AVs and other vehicles. To model the interaction between the AV and other vehicles, Markov decision process was used. The deep Q-network (DQN) algorithm was applied to generate the optimal driving policy that could comprehensively consider driving safety, travel efficiency and driving comfort. Three crash-prone complex intersection scenarios were reconstructed in CARLA (car learning to act) to evaluate the performance of our proposed method. The results indicate that our method can make AV drive through intersections safely and efficiently with desirable driving comfort in all the examined scenarios.

Geometric nilpotent Lie algebras and zero-dimensional simple complete intersection singularities

Abstract The Levi theorem tells us that every finite-dimensional Lie algebra is the semi-direct product of a semi-simple Lie algebra and a solvable Lie algebra. Brieskorn gave the connection between simple Lie algebras and simple singularities. Simple Lie algebras have been well understood, but not the solvable (nilpotent) Lie algebras. Therefore, it is important to establish connections between singularities and solvable (nilpotent) Lie algebras. In this paper, we give a new connection between nilpotent Lie algebras and nilradicals of derivation Lie algebras of isolated complete intersection singularities. As an application, we obtain the correspondence between the nilpotent Lie algebras of dimension less than or equal to 7 and the nilradicals of derivation Lie algebras of isolated complete intersection singularities with modality less than or equal to 1. Moreover, we give a new characterization theorem for zero-dimensional simple complete intersection singularities.

All-silicon, low-cross-talk terahertz waveguide crossing based on effective medium.

All-silicon effective-medium-clad waveguides are a promising candidate for an integrated terahertz platform with high efficiency and broad bandwidth. Waveguide crossings are essential circuit components, allowing for wave routing over shorter paths to increase circuit density. However, the simple intersection of two orthogonal effective-medium-clad waveguides results in terahertz wave scattering, leading to relatively high cross talk. In this work, a low-loss, 40% fractional bandwidth crossing utilizing Maxwell-Garnet effective-medium theory and wavefront planarization techniques is proposed. This monolithic structure is fabricated on a single high-resistivity float-zone silicon wafer using a deep reactive ion etching process with a modest 4.4 mm diameter (4.03λ0) structure footprint. Experimentally verified results show low insertion loss, less than 1 dB, and average cross talk level of -39dB for both E11x and E11y operating modes, over 220-330 GHz with a 40% fractional bandwidth. This waveguide crossing can be foreseen as a useful routing component for terahertz all-silicon integrated circuits. The proposed techniques are applicable to other dielectric waveguide platforms at infrared and optical frequencies.

On the application of variational theory to urban networks

The well-known Lighthill–Whitham–Richards (LWR) theory is the fundamental pillar for most macroscopic traffic models. In the past, many methods were developed to numerically derive solutions for LWR problems. Examples for such numerical solution schemes are the cell transmission model, the link transmission model, and the variational theory (VT) of traffic flow. So far, the eulerian formulation of VT found applications in the fields of traffic modelling, macroscopic fundamental diagram estimation, multi-modal traffic analyses, and data fusion. However, these studies apply VT only at the link or corridor level. To the best of our knowledge, there is no methodology yet to apply VT at the network level. We address this gap by developing a VT-based framework applicable to networks. Our model allows us to account for source terms (e.g. inflows and outflows at intersections) and the propagation of spillbacks between adjacent corridors consistent with kinematic wave theory (KWT). We show that the trajectories extracted from a microscopic simulation fit the predicted traffic states from our model for a simple intersection with both source terms and spillbacks. We also use this simple example to illustrate the accuracy of the proposed model, and the ability to model complex bottlenecks. Additionally, we apply our model to the Sioux Falls network and again compare the results to those from a microscopic KWT simulation. Our results indicate a close fit of traffic states, but with substantially lower computational cost. The developed methodology is useful for extending existing VT applications to the network level, for network-wide traffic state estimations in real-time, or other applications within a model-based optimization framework.

On exceptional Lie geometries

AbstractParapolar spaces are point-line geometries introduced as a geometric approach to (exceptional) algebraic groups. We characterize a wide class of Lie geometries as parapolar spaces satisfying a simple intersection property. In particular, many of the exceptional Lie incidence geometries occur. In an appendix, we extend our result to the locally disconnected case and discuss the locally disconnected case of some other well-known characterizations.

Variational shape approximation of point set surfaces

In this work, we present a translation of the complete pipeline for variational shape approximation (VSA) to the setting of point sets. First, we describe an explicit example for the theoretically known non-convergence of the currently available VSA approaches. The example motivates us to introduce an alternate version of VSA based on a switch operation for which we prove convergence. Second, we discuss how two operations—split and merge—can be included in a fully automatic pipeline that is in turn independent of the placement and number of initial seeds. Third and finally, we present two approaches how to obtain a simplified mesh from the output of the VSA procedure. This simplification is either based on simple plane intersection or based on a variational optimization problem. Several qualitative and quantitative results prove the relevance of our approach.

Level set splitting in DEM for modeling breakage mechanics

Brittle breakage of particles in granular materials has often been modeled using the discrete element method (DEM). DEM is often limited however in its ability to capture particle shape, particularly when used for breakage. This paper presents the first brittle breakage technique where level set functions will allow for the description of arbitrary shape for both particles and fracture surfaces. The breakage model to be described here uses fracture surfaces defined by level sets to take advantage of simple intersection and difference set operations to split particles in both two and three dimensions. We show how this method is implemented and how we can use it to define and apply arbitrary fracture surface shapes. We then give qualitative examples of using the method in both simple and exotic ways. Finally, we model oedometric tests and rock crushing, both very common uses for previous DEM breakage techniques, to present a validation that the method captures the physics of the problem.

Analisis Kinerja Rencana Bundaran dengan Pendekatan Simulasi Mikro

Urban road network typically consists of many intersections which commonly lead to traffic problems. In relatively low traffic, a simple priority intersection will be sufficient and lead no traffic problem without necessarily implement traffic lights, roundabout or others. In an urban area where traffic demands are high, intersections need to be treated with an accurate traffic engineering approach. There are many different approaches to reduce the traffic problem in intersection including traffic light, roundabout, or interchange. Cimahpar Raya street and Indobaso intersections are urban areas in Bogor city with the high demand for transportation and often having a congestion problem in peak hour. The Office of Public Works and Spatial Planning (PUPR) of Bogor city plans to develop and change the Indobaso intersection to be a roundabout, while also increasing the lane width of the approaching roads. This study was conducted to assess the performance changes of the Indobaso intersection improvement by developing a traffic model of the intersection. The planned roundabout and lane width improvement significantly reduce the traffic delays by 90,07%, reduce travel time by 51,76%, improve average speed by 83,77%, and reduce the traffic density by 88,54% compared to the current condition of the intersection which lacks required lane road width and maneuver area.Key words: urban road, intersection, traffic model

Geometric characterization of non-Hermitian topological systems through the singularity ring in pseudospin vector space

This work unveils how geometric features of two-band non-Hermitian Hamiltonians can completely classify the topology of their eigenstates and energy manifolds. Our approach generalizes the Bloch sphere visualization of Hermitian systems to a ``Bloch torus'' picture for non-Hermitian systems, where a singularity ring (SR) captures the degeneracy structure of generic exceptional points. The SR picture affords convenient visualization of various symmetry constraints and reduces their topological characterization to the classification of simple intersection or winding behavior, as detailed by our explicit study of chiral, sublattice, particle-hole and conjugated particle-hole symmetries. In 1D, the winding number about the SR corresponds to the band vorticity measurable through the Berry phase. In 2D, more complicated winding behavior leads to a variety of phases that illustrate the richness of the interplay between SR topology and geometry beyond mere Chern number classification. Through a normalization procedure that puts generic 2-band non-Hermitian Hamiltonians on equal footing, our SR approach also allows for vivid visualization of the non-Hermitian skin effect.

Vertices with the second neighborhood property in Eulerian digraphs

The Second Neighborhood Conjecture states that every simple digraph has a vertex whose second out-neighborhood is at least as large as its first out-neighborhood, i.e. a vertex with the Second Neighborhood Property. A cycle intersection graph of an even graph is a new graph whose vertices are the cycles in a cycle decomposition of the original graph and whose edges represent vertex intersections of the cycles. By using a digraph variant of this concept, we prove that Eulerian digraphs which admit a simple cycle intersection graph not only adhere to the Second Neighborhood Conjecture, but that local simplicity can, in some cases, also imply the existence of a Seymour vertex in the original digraph.

On Constrictions of Phase-Lock Areas in Model of Overdamped Josephson Effect and Transition Matrix of the Double-Confluent Heun Equation

In 1973, B. Josephson received a Nobel Prize for discovering a new fundamental effect concerning a Josephson junction,—a system of two superconductors separated by a very narrow dielectric: there could exist a supercurrent tunneling through this junction. We will discuss the model of the overdamped Josephson junction, which is given by a family of first-order nonlinear ordinary differential equations on two-torus depending on three parameters: a fixed parameter ω (the frequency); a pair of variable parameters (B, A) that are called respectively the abscissa, and the ordinate. It is important to study the rotation number of the system as a function ρ = ρ(B, A) and to describe the phase-lock areas: its level sets Lr = {ρ = r} with non-empty interiors. They were studied by V.M.Buchstaber, O.V.Karpov, S.I.Tertychnyi, who observed in their joint paper in 2010 that the phase-lock areas exist only for integer values of the rotation number. It is known that each phase-lock area is a garland of infinitely many bounded domains going to infinity in the vertical direction; each two subsequent domains are separated by one point, which is called constriction (provided that it does not lie in the abscissa axis). Those points of intersection of the boundary ∂Lr of the phase-lock area Lr with the line Λr = {B = rω} (which is called its axis) that are not constrictions are called simple intersections. It is known that our family of dynamical systems is related to appropriate family of double–confluent Heun equations with the same parameters via Buchtaber–Tertychnyi construction. Simple intersections correspond to some of those parameter values for which the corresponding “conjugate” double-confluent Heun equation has a polynomial solution (follows from results of a joint paper of V.M. Buchstaber and S.I.Tertychnyi and a joint paper of V.M. Buchstaber and the author). There is a conjecture stating that all the constrictions of every phase-lock areaLrlie in its axis Λr. This conjecture was studied and partially proved in a joint paper of the author with V.A.Kleptsyn, D.A.Filimonov, and I.V.Schurov. Another conjecture states that for any two subsequent constrictions in Lr with positive ordinates, the interval between them also lies in Lr. In this paper, we present new results partially confirming both conjectures. The main result states that for every $r \in \mathbb {Z}\setminus \{0\}$ the phase-lock area Lr contains the infinite interval of the axis Λr issued upwards from the simple intersection in ∂Lr ∩Λr with the biggest possible ordinate. The proof is done by studying the complexification of the system under question, which is the projectivization of a family of systems of second-order linear equations with two irregular non-resonant singular points at zero and at infinity. We obtain new results on the transition matrix between appropriate canonical solution bases of the linear system; on its behavior as a function of parameters. A key result, which implies the main result of the paper, states that the off-diagonal terms of the transition matrix are both non-zero at each constriction. We also show that their ratio is real at the constrictions. We reduce the above conjectures on constrictions to the conjecture on negativity of the ratio of the latter off-diagonal terms at each constriction.

Challenges in constraining theP–Tconditions of mafic granulites: An example from the northern Trans‐North China Orogen

AbstractSome mafic granulites in the Sanggan area of the northern Trans‐North China Orogen (TNCO) have a relatively simple mineralogy with low energy grain shapes that are compatible with an assumption of equilibrium, but the rock‐forming minerals show variations in composition that create challenges for thermobarometry. The mafic granulites, which occur as apparently disrupted dyke‐like bodies in tonalite–trondhjemite–granodiorite gneisses, are divided into two types based on petrography and chemical composition. Type 1 mafic granulites are fine‐ to medium‐grained with an equilibrated texture and an assemblage of plagioclase+clinopyroxene+garnet+magnetite+ilmenite and sometimes minor hornblende±orthopyroxene. Type 2 mafic granulites are coarse‐grained and hornblende bearing with a peak assemblage of garnet+clinopyroxene+plagioclase+hornblende and variably developed coronae and symplectites of plagioclase+hornblende+orthopyroxene partially replacing porphyroblastic garnet±clinopyroxene.SIMSU–Pb dating of metamorphic zircon from two type 1 mafic granulites yields metamorphic ages ofc. 1.84 and 1.83 Ga, consistent with published ages of the type 2 mafic granulites. Based on phase equilibrium modelling, we use the common overlap ofP–Tfields defined by the mineral assemblage limits, and the mole proportion and composition isopleths of different minerals in each sample to quantify the metamorphic conditions. For type 1 granulites, overlap of the mineral proportion and composition fields for each of three samples yields similarP–Tconditions of 710–880°C at 0.57–0.79 GPa, 820–850°C at 0.59–0.63 GPa and 800–860°C at 0.59–0.68 GPa. For the type 2 granulites, overlaying the peak assemblage fields for three samples yields commonP–Tconditions of 870–890°C at 1.1–1.2 GPa. For the retrograde assemblage, overlap of the mineral proportion and composition fields for each sample yields similarP–Tconditions of 820–840°C at 0.85–0.88 GPa, 860–880°C at 0.83–0.86 GPa and 880–930°C at 0.89–0.95 GPa. TheP–Tconditions appear distinct between the two types of mafic granulite, with the mineralogically simple type 1 mafic granulites recording the lowest pressures. However, there are significant uncertainties associated with these results. For the granulites, there are uncertainties related to the determination of modes and composition of the equilibration volume, particularly estimation of O and H2O contents, and in the phase equilibrium modelling there are uncertainties that propagate through the calculation of mole proportions and mineral compositions. The compound uncertainties on pressure and temperature for high‐Tgranulites are large and the results of our study show that it may be unwise to rely onP–Tconditions determined from the simple intersection of calculated mineral composition isopleths alone. Since the samples in this study are from a limited area—a few hundred square metres—we infer that they record a singleP–Tpath involving both decompression and cooling. However, there is no evidence of the high‐Pgranulite facies event at 1.93–1.90 Ga that is recorded elsewhere in theTNCO, which suggests that the precursor basic dykes were emplaced late during the assembly of the North China Craton.

Spatiotemporal intersection control in a connected and automated vehicle environment

Current research on traffic control has focused on the optimization of either traffic signals or vehicle trajectories. With the rapid development of connected and automated vehicle (CAV) technologies, vehicles equipped with dedicated short-range communications (DSRC) can communicate not only with other CAVs but also with infrastructure. Joint control of vehicle trajectories and traffic signals becomes feasible and may achieve greater benefits regarding system efficiency and environmental sustainability. Traffic control framework is expected to be extended from one dimension (either spatial or temporal) to two dimensions (spatiotemporal). This paper investigates a joint control framework for isolated intersections. The control framework is modeled as a two-stage optimization problem with signal optimization at the first stage and vehicle trajectory control at the second stage. The signal optimization is modeled as a dynamic programming (DP) problem with the objective to minimize vehicle delay. Optimal control theory is applied to the vehicle trajectory control problem with the objective to minimize fuel consumption and emissions. A simplified objective function is adopted to get analytical solutions to the optimal control problem so that the two-stage model is solved efficiently. Simulation results show that the proposed joint control framework is able to reduce both vehicle delay and emissions under a variety of demand levels compared to fixed-time and adaptive signal control when vehicle trajectories are not optimized. The reduced vehicle delay and CO2 emissions can be as much as 24.0% and 13.8%, respectively for a simple two-phase intersection. Sensitivity analysis suggests that maximum acceleration and deceleration rates have a significant impact on the performance regarding both vehicle delay and emission reduction. Further extension to a full eight-phase intersection shows a similar pattern of delay and emission reduction by the joint control framework.