Vehicle Stopping Research Articles

Analyzing Travel and Emission Characteristics of Hazardous Material Transportation Trucks Using BeiDou Satellite Navigation System Data

Road hazardous material transportation plays a critical role in road traffic management. Due to the dangerous nature of the cargo, hazardous material transportation trucks (HMTTs) have different route selection and driving characteristics compared to traditional freight trucks. These differences lead to unique travel and emission patterns, which in turn affect traffic management strategies and emission control measures. However, existing research predominantly focuses on safety aspects related to individual vehicle behavior, with limited exploration of the broader travel and emission characteristics of HMTTs. To bridge this gap, this study develops a comprehensive framework for analyzing the travel patterns and emissions of HMTTs. The methodology begins by applying a Gaussian mixture distribution model to identify vehicle stop points, eliminating biases associated with subjective settings. Origin–destination (OD) pairs are then determined through stop time clustering, followed by the extraction of travel characteristics using non-negative matrix factorization. Emissions are subsequently calculated based on the identified trip data. The relationship between emissions and land use characteristics is further analyzed using geographically weighted regression (GWR). Crucially, this study leverages data from the BeiDou Satellite Navigation System, focusing on HMTTs operating within Shanghai. The processed data reveal three distinct travel modes of HMTTs, categorized by spatiotemporal patterns: Daytime—Surrounding cities, Early morning—In-city, and Midnight—Scattered. Moreover, unlike other road vehicles, HMTT emissions are heavily influenced by industrial and company-related points of interest (POIs). These findings highlight the significant role of BeiDou Satellite Navigation System data in optimizing HMTT management strategies to reduce emissions and improve overall safety.

Association between emergency medical services' response times, low socioeconomic status, and poorer outcomes in out-of-hospital cardiac arrest: the MEDIC multicenter retrospective cohort study for disparities in access to prehospital critical care in the Paris metropolitan area.

Prolonged emergency medical services' response times (EMS-RT) are associated with poorer outcomes in out-of-hospital cardiac arrest (OHCA). The patient access time interval (PATI), from vehicle stop until contact with patient, may be increased in areas with low socioeconomic status (SES). The objective of this study is to identify predictors of prolonged EMS-RT intervals, and to evaluate associations with clinical outcomes in OHCAs occurring in the largest metropolitan area in France. Using the Utstein-style, prospectively implemented, population-based SDEC registry for OHCAs, we conducted a multicenter, region-wide, retrospective cohort study of EMS dispatches for OHCA cases occurring in the 124 cities of the Greater Paris area, France, between January 1, 2017 and December 31, 2018. Adult, nontraumatic, EMS-assessed, non-EMS witnessed OHCAs. Geographic location and scene-level SES. The primary outcome was the EMS-RT interval, from activation until arrival at patient's side. As secondary outcomes, we evaluated patient access outcomes of: (1) dispatch-to-patient contact interval ('EMS-RT'); and (2) vehicle scene arrival-to-patient contact interval (PATI); and patient clinical outcomes of: (1) death; and (2) unfavorable neurological status, both at 30 days. Area-level SES was assessed at census tract level using the European Deprivation Index (EDI; continuous, and divided into quintiles, Q5 = most deprived). We fitted multilevel mixed-effects regression models to identify predictors of patient access outcomes, and their association with clinical outcomes. We included 4082 cases; the median EMS-RT was 10.85 min (interquartile range [8.87-13.15]), and 138 (3.4%) survived to hospital discharge. Independent predictors of increased EMS-RT and PATI were age >65, female sex, residential location, occurrence at elevated floors, arrest unwitnessed by a bystander, and low EDI (all P < 0.018). After multivariable analysis, an overall EMS-RT interval >8 min was associated with higher mortality and poorer neurological status at hospital discharge (both P < 0.001). In OHCA cases occurring in the Greater Paris metropolitan area, after adjustment for scene characteristics, EMS delays until patient contact were longer in neighborhoods of low SES, and were associated with poorer clinical outcomes.

IMPACT OF SHOCK ABSORBERS QUALITY ON THE SAFETY OF CAR PASSENGERS AND CARGO

The analysis of impact of properly operating shock absorbers having a substantial influence on the vehicle safety is a main issue of this paper. A "Quarter-car suspension model" has been used in creating mathematic model for dynamic processes analysis – system of differential equations. The dynamic processes taking place in the wheel suspension has been mathematically described using Quarter-car suspension model. A system of differential equations has been created and applied for programming Scilab Xcos. The results of modeling were verified by performing practical performance using automobile Volvo S80. The results of process modeling and practical car braking using shock absorbers of various quality evidently show the importance of their quality and significant impact on vehicle stability on the road. The simulation, applying Scilab X cos system allows to conclude that the mechanical oscillations during the braking process are quite significant (oscillation amplitude from 0.2, 0,1 m through 3 s period). In case of shock absorber malfunctioning the process simulation, when the damping force of the suspension system was 10 times reduced, the amplitude of moving masses grows up about twice and the period of oscillations lasts more than 3,5 times longer. That allows us to predict that these parameters could expand a braking time up to 20% - 30%, thus affecting the wheel's clamping force and, at the same time, the wheel's adhesion to the road. These factors directly affect the length of the braking distance, as well as the stability of the car's movement in the turn. Because, the results of practical measurements, proved the shock absorbers quality influence on so important parameters like vehicle stopping time and distance, quite often defining the vehicle safety on the road it‟s reasonable to stress on the importance of more strict technical quality control of shock absorbers.

An evaluation of driver comprehension of the Pedestrian Hybrid Beacon

Introduction: The Pedestrian Hybrid Beacon (PHB) has become increasingly common since it was first implemented in 2015 at midblock pedestrian crossings in Massachusetts. The tri-signal head design includes signal sections displaying two red indications above a single yellow indication. PHBs are used as a method of increasing the safety of vulnerable road users by stopping vehicles at high-traffic and high-speed midblock crosswalks. This study was developed to evaluate both driver behavior and comprehension related to the use of PHBs in Massachusetts. Methods: The study utilized one online survey to create a PHB inventory, and a second online survey to measure driver comprehension of PHBs. The first survey was motivated to gauge potential exposure to PHBs and supplied an estimated 40 PHB installations with a primary concentration in Eastern Massachusetts. These efforts were paired with the second survey that was disseminated to drivers in Massachusetts and elsewhere to investigate the typical driver’s understanding of PHB intervals: Dark, Flashing Yellow (FY), Solid Yellow (SY), Solid Red (SR), and Flashing Red (FR). Results: The comprehension survey’s results provide evidence to suggest that driver behaviors are inconsistent with the recommended actions in PHB user guides. Specifically, the FY and FR intervals cause the greatest amount of confusion for drivers. Conclusions: This study also examines the reasons why drivers may be confused and offers recommendations for PHB education and outreach practices. Practical Applications: PHBs can increase pedestrian conspicuity on midblock crossings. Correct use of PHBs by drivers and pedestrians is crucial for facilitating safe crossings and traffic flow. However, many research efforts have not studied drivers’ understanding of PHB intervals. Communities with PHBs present should consider education and outreach prior to and during PHB implementation.

An extended intelligent driving model for autonomous and manually driven vehicles in a mixed traffic environment with consideration to roadside crossing

While the advantages of AVs and their impact on manually driven vehicles (MVs) have been widely discussed in continuous flow conditions, their performance under mixed traffic, intermitted flow conditions has yet to be properly studied. One of the representative scenarios is that vehicular flow is interrupted by roadside crossing obstacles such as pedestrians or cyclists. Since such interruption makes vehicles stop and go more frequently and creates random and complex traffic conflict, it has become a critical factor that can affect the driving performance of AVs. Therefore, this paper proposes a uniform traffic model (Pre_IDM+) to include roadside crossing impact in traffic flow analysis. The classical intelligent driving model (IDM) is extended into an obstacle-avoiding case, in which a novel pre-reaction workflow is introduced to describe yielding behavior and generate a reasonable braking trajectory. A real mixed traffic data near an un-signalized mid-block crosswalk is used to calibrate Pre_IDM+ and an accordingly microscope mixed traffic simulation platform is constructed. The simulation results show that discreet AVs can greatly avoid hard braking (−83.61%) and slightly improve passing speed (+5.11%) compared with MVs, while competitive AVs can maximize traffic efficiency (+7.03%) but will also deteriorate driving smoothness and comfort (−31.66%). Maintaining a sparse distribution of crossing sites along the road may contribute more to traffic stability and driving continuity compared with gathering all obstacles crossing at one location. This paper may help better understand the impact of AVs on general intermitted flow and give a reference to mixed traffic modeling towards a complex road condition.

Ecologically Oriented Freeway Control Methods Integrated Speed Limits and Ramp Toll Booths Layout

Traffic exhaust pollution, especially in congested areas of freeways, is one of the main causes of air pollution. With the increase in the number of vehicles, traffic and environmental issues have become more prominent. In addition, traffic congestion leads to frequent starting and stopping of vehicles, further exacerbating environmental pollution. This article focuses on the problem of frequent starting and stopping of vehicles, using variable speed limit control to smooth traffic flow, reduce vehicle speed, and alleviate exhaust emissions caused by traffic congestion. At the same time, considering the traffic and environmental benefits of bottleneck areas on freeways, the VT-Micro model is used to calculate exhaust emissions, and a coordinated control method for the mainline and ramp of freeways is proposed. The simulation experiment results show that the total driving time of the mainline and ramp collaborative control method considering environmental benefits has been reduced by 24.69%, CO emissions have been reduced by 4.79%, HC emissions have been reduced by 7.65%, NOx emissions have been reduced by 2.48%, and fuel consumption has been reduced by 4.98%.

Optimization of hybrid delivery by vehicle and drones

In this paper, we introduce the optimization of hybrid delivery by vehicle and drones. Hybrid delivery by vehicle and drones is advantageous for improving O2O last-mile delivery efficiency. However, vehicle stop selection and drone delivery sortie arrangement are challenging in the optimization of hybrid delivery by vehicle and drones because cyclic sorties and forward sorties jointly influence the total makespan of the delivery. To minimize the delivery makespan, an MILP model for hybrid delivery is formulated considering both the cyclic sorties and forward sorties of drones. In the proposed model, the intertwined influences of the flight times of cyclic and forward sorties and their further effects on total delivery makespan are depicted. Additionally, we introduce an ACO based on set covering for the selection of vehicle stops and a customized HGSADC for the arrangement of drone sorties. A study based on a simulated case and experiments based on 40 generated instances at different scales are explored to assess the optimization of hybrid delivery by vehicle and drones.

Influence of pedestrian movement on speed of vehicles, capacity and level of service of urban midblock sections

Side friction factors are all those actions related to the activities taking place by the sides of the road and sometimes within the road, which interfere with the traffic flow on the travelled way. They include but not limited to pedestrians, bicycles, non-motorized vehicles, parked and stopping vehicles. These factors are normally very frequent in densely populated areas in developing countries, while they are random and sparse in developed countries making it of less interest for research and consequently there is comparatively little literature about them. The objective of this thesis is to analyze the effect of these factors on capacity of urban roads. The present study is mainly focused on individual effect of the friction factors like pedestrians crossing the road on capacity of urban roads. Data on two sections of 4-lane divided road were collected in Hyderabad with pedestrian cross flow. These are taken as the base sections. Three basic parameters of traffic speed, volume and density are used for estimation of traffic carrying capacity of a road. For determination of speed-volume relationship in heterogeneous traffic condition, the volume calculated by total vehicles recorded for each counting period were converted into equivalent number of PCUs. Mean stream speed or weighted space mean speed is calculated and used in the present study. The present study demonstrates that mix traffic stream can be converted in to an homogeneous equivalent of passenger cars by multiplying the total traffic volume (in veh/hr) by a stream equivalency factor (K). It will avoid the problem of estimation of PCU values for individual vehicle categories in the traffic stream. The stream equivalency factor (K) will depend on traffic composition and a regression equation is developed in this study to estimate K-value on urban roads.

Survey and Investigation of Usage Status According to the Installation of Underground Fire Extinguisher Boxes in Korea’s Traditional Markets

Currently, traditional markets are structurally vulnerable to fire because of the dense concentration of old wooden buildings with tangled wires, such as aging facilities. Particularly in traditional markets, street vendors are usually disorderly located, and nearby roads are crowded due to illegal parking and vehicles stopping on the driveway. When a fire breaks out, it is difficult for the fire truck to enter, which is necessary to extinguish the fire in the early stages and prevent it from expanding into a large fire. With modernization, the number of fires is on the decline; however, fires in traditional markets continue to increase. According to the analysis of fire statistics from January to November 2023, 49 out of 819 fires in sales facilities were in traditional markets, accounting for 5.98% of fires in sales facilities. This is an increase of about 18 cases and an increase of 2.8% compared to fire statistics of about 3.19%, or 31 out of 972 fires at sales facilities as of 2017. Through these statistics, we can observe that the number of fires in sales facilities has decreased; however, the number of fires in traditional markets has increased. Traditional markets are at high risk of accidents due to the poor management of aging facilities and the lack of safety awareness among merchants. Specifically, in the event of a fire, which is likely to develop into a large fire in a short period due to structural problems, construction of high-density shopping malls, and mass loading of highly flammable goods, raising concerns about safety issues. As these problems have continued, the National Fire Agency has developed an emergency fire extinguisher box that could be buried underground in districts requiring fire prevention reinforcement, such as traditional markets and dosshouses. On January 20, 2018, and on May 2, 2018, ten units were first installed in the Seoul area. In this study, we conducted a survey on the current status of underground fire extinguishing systems boxed in traditional markets to identify the merchants' perceptions and analyze the operation of underground fire extinguishing systems boxed in the market.

“When the Cruiser Lights Come On”: Using the Science of Bias &amp; Culture to Combat Racial Disparities in Policing

Abstract In this essay, we highlight the interplay between individuals' psychological processes and sociocultural systems in producing and maintaining racial bias. We use a conceptual tool we call the culture cycle to map these dynamics, and illustrate them with research and in-depth examples from our work reducing racial disparities in routine policing in Oakland, California. We feature the most common police encounter – the vehicle stop – and highlight evidence-based interventions we developed both to reduce the frequency of vehicle stops and mitigate racial disparities in stops. Throughout, we draw on our expertise in the social psychology of bias, culture, and inequality, as well as our experiences building research-driven partnerships with public- and private-sector leaders, to inform organizational and societal change.

Design of Automated Bascule Bridge and Collision Avoidance with Water Traffic

Abstract The development of movable bridges is a modern technological advancement that requires the integration of multi-disciplinary concepts such as control, automation, and design. In order to demonstrate how a collision avoidance system works, this research offers the design of an automated double-leaf bascule bridge with a pulley-rope moving mechanism and Pratt truss. The bridge is created where a settled railway or roadway intersection of a navigable stream cannot attain a steep profile. The design took into account the length, height, and width of the bridge as well as automatic ship identification and scaffold leaf movement activity for ship crossing. For the safe passage of cars on the bridge and for stopping vehicles during bridge movement, the system includes a collision avoidance control system and an automated road barrier system. After sensor adjustment, the model bridge’s performance under test produced results that were adequate, with a success rate of 100%.

The Analysis of Service Level on Diponegoro Road, Pasar Aceh: Comparing The Existing Condition and with on-Street Parking Restriction

Traffic congestion is a major problem in cities, especially on the main roads in the Central Business District (CBD) area, as occurred on Diponegoro Road in Banda Aceh, Indonesia. This problem has economic, social, and environmental impacts, such as fuel wastage, longer travel times, and air pollution from vehicle exhaust gases. Factors causing traffic congestion include side friction, such as road crossings (Pedestrian/PED), parking and stop vehicles (PSV), entry and exit vehicles (EEV), and slowmoving vehicles (SMV). Diponegoro Road is a three-lane one-way road (3/1 TT). However, only one lane is effective during peak hours, while the other is used for vehicle parking. Therefore, this study aims to analyze the service level of Dipenogoro Road under existing conditions and with the implementation of on-street parking restrictions. The road performance was calculated using the Indonesian Road Capacity Guidelines (PKJI) 2023 method. The data needed are traffic volume, road geometrics, side friction, and population. The study results show that the road's service level on weekdays (Monday and Thursday) is on level C, indicating that traffic conditions limit the speed and movement of vehicles, and the drivers are restricted in choosing the desired speed. On Sunday mornings, the road level of service is on level B, while in the afternoon, it becomes level D. This difference in service level occurs because there is no activity to access schools or workplaces on Sunday mornings. On Sunday afternoons, most citizens go shopping or sightseeing, causing volume and roadside friction to increase and road performance to drop. The level of road service with the implementation of on-street parking restrictions shows a good level (A and B), with an indication of stable traffic flow, and drivers are free to choose their driving speed. Thus, this research recommends maximizing off-street parking to limit on-street parking.

STUDY OF ROAD PERFORMANCE IN AHMAD YANI DUE TO MARKET ACTIVITIES IN PALANGKA RAYA CITY

Road performance is a quantitative measurement that describes certain conditions that occur on a roadsegment. Generally, in assessing road performance, it can be seen from capacity, degree of saturation (DS).Road performance is usually influenced by several things such as side Side Barrier and so on. Indonesia HighwayCapacity Manual, explains that side barriers are an impact on traffic performance and activities on the side ofthe road segment, such as pedestrians (weight = 0.5), public vehicles or other vehicles stopping (weight = 1.0),vehicles exiting or entering the side of the road (weight = 0.7), slow vehicles (weight = 0.4). The number of sidebarriers that affect the road segment results in the emergence of delays which result in decreased roadperformance. The results of the study show that the performance of the road is saturated (DS&gt;1) due to the sideobstacle that occur on A. Yani, street the market area of Palangka Raya City

Voltage-Based Braking Controls for Electric Vehicles Considering Weather Condition and Road Slope

This article addresses the braking controls for an electric vehicle with DC motors such that the voltage in the motors is used for controlling the wheel angular velocity. Other papers on the anti-lock braking system (ABS) handled how to derive the braking torque (or braking pressure) for controlling the wheel angular velocity. However, heavy or prolonged braking can cause brake fade or wear. According to EURO 7 regulations, brake fade or wear is not desirable, since the regulations refer to the reduction in particles emitted from brake pads. For avoiding heavy or prolonged braking, this paper does not use a brake unit, such as electro-mechanical brake units or hydraulic brake units, for vehicle stop. Instead, the motor voltage is used for controlling the wheel angular velocity. While a vehicle moves, the goal of this paper is to provide automatic braking controls in real time, so that the vehicle stops safely and smoothly without slippage before colliding with an obstacle. In practice, road conditions can change depending on weather conditions, such as rain or snow. Moreover, road slope can have an effect on the braking distance for the vehicle. Thus, this article introduces automatic braking controls, while considering both road slope and road conditions. This article is unique in presenting automatic braking controls for the smooth stop of electric vehicles with DC motors, while considering both road slope and road conditions. In addition, this article is unique in controlling the motor voltage for controlling the wheel angular velocity, while not requiring any brake units.

Geometric parameters analysis of the two-lane motorways cross profile using risk theory

The issue of safety and traffic potential on public motorways often arises due to large-sized vehicles such as buses, agricultural machinery, and road articulated vehicles stopping on the roadsides. This is caused by the number of logistic transportations between the territorial subjects of the Russian Federation, which has increased recently due to the increase in the number of warehouses and, as a consequence, the increase in the number of heavy and full-size vehicles. The problem is especially acute at high traffic intensity, when four vehicles are simultaneously located on a two-lane road in one transverse profile. In this article the authors consider the safety analysis of cross profile elements of a motor road on safety maintenance of road traffic at a collision of a passenger car on the car stopped on the roadside with simultaneous separation on a two-lane motor road from the position of the risk theory. This approach to the risk calculation methodology is developed within the framework of the scientific direction «Design, construction and operation of motorways under the condition of ensuring traffic safety taking into account the risk theory». The purpose of the calculation is to check the safe stopping possibility of large-tonnage vehicles on roadsides of II, III and IV categories on the basis of risk-oriented approach according to geometric elements normative dimensions of the public roads cross profile.

Discovering stop and parking behaviors of last mile delivery vehicles for urban areas based on not well conditioned GPS traces, expert knowledge and machine learning

Nowadays urban traffic is one of the most serious challenges for local authorities around the world. This challenge implies issues regarding health, energy, safety, environment and quality of life. Achieving a fair traffic outcome is a key priority for city traffic managers while maintaining city’s attractiveness for citizens and travelers and those carrying out commercial activities. As a part of this challenge, delivery and similar companies are relevant stakeholders in optimizing their routes, deliveries, and operational services. It is in this respect that urban traffic and its regulations play a key role.The conditions in which urban traffic takes place thus have to be known and one way to deal with this is based on available and accessible data. In the IoT age, there could be huge amounts of available data generated by countless sensors and systems involved in our lives, cities, infrastructures, etc.... Taking advantage of such data, when the accessibility and quality is good enough, can help us to achieve the desired goals concerning the urban traffic and its consequences. However, in practice, the availability and access to such data is currently a very serious challenge.Following on with this, data generated from the ever-increasing number of sensors on board vehicles could be very useful, not only for checking the vehicle condition, but also to gain a better of the “real-time” traffic situation or to discover traffic behaviors/patterns from the said data. In this work, a real case based study has been carried out gathering basic real GPS information regarding delivery vehicles in a city environment and OpenData to “discover” where, when and how long time delivery vehicles use the regulated parking zones for loading/unloading in the city center. Based on Expert Rules, a stop detection criteria is defined and formulated to be applied to real cases in urban areas, focusing on city centers and Machine Learning techniques to discover stop and park behaviors on last mile deliveries in a real urban area.All this is used to plan traffic strategies and facilities which can permit better and more fluent services. On the other hand, the results provide invaluable knowledge support for the expert knowledge of mobility managers, while also supplying new “findings” about the daily challenges, showing that machine learning techniques and other linked technologies are powerful tools for this challenge.

Research on Logistics Path Optimization for a Two-Stage Collaborative Delivery System Using Vehicles and UAVs

A two-stage planning model for the carrier–vehicle problem with drone (CVP-D) is established in this paper, with the objective of minimizing the delivery time of the drone and the distance traveled by the truck while considering the impact of payload on the drone flight distance. Firstly, based on the customer coordinates, an improved K-Means ++ clustering algorithm is designed to plan the vehicle stopping points, and the vehicle departs from the warehouse to traverse all stopping points in order. Based on the vehicle stopping points, a multi-chromosome genetic algorithm is designed to optimize the vehicle driving path. Then, the drone route is optimized without considering the no-fly zone. Finally, the real data of Jiangsu Province are introduced as a case study to calculate the cost and total time required before and after improvement. The results showed an approximate savings of 16% in time and 19% in cost.

PENGARUH HAMBATAN SAMPING TERHADAP KINERJA JALAN (STUDI KASUS: JALAN PELITA DAN JALAN FLAMBOYAN, JALAN SEKITAR TAMAN SANGKAREANG, KOTA MATARAM)

Some traffic problems often arise due to an activity from the side of the road segment. Congestion is a problem that often occurs in urban road traffic. Congestion is caused by a lack of ability or capacity of the road to provide services to the volume of vehicles crossing a certain road section as well as the presence of high side friction conflicts that cause vehicle speeds to slow down which results in a non-smooth traffic flow.Sangkareang Park is one of the areas located in the center of Mataram City which is a public facility for the community. This resulted in an increase in side barriers on roads around Sangkareang Park. This study aims to determine the value of side friction and road performance on roads around Sangkareang Park, namely Jalan Flamboyan and Jalan Pelita. Furthermore, this research was conducted to determine the effect of the side friction on road performance as described by speed and degree of saturation.The results of the study on the Flamboyan road section had the highest side resistance, speed, and degree of saturation values of 814.8 incidents/hour, 32.53 km/hour, and 0.09. On the Pelita road, the highest values of side resistance, speed, and degree of saturation were 1614.6 incidents/hour, 30.90 km/hour, and 0.16 respectively. The results of the simultaneous regression analysis found that the side resistance affects the speed and degree of saturation. The results of the partial regression analysis show that on the Flamboyan road, the side friction variable that has the most influence on speed and degree of saturation is Slow Vehicles (SMV) while on Pelita road, the side resistance variable that has the most effect on speed and degree of saturation is vehicles entering and leaving (EEV). ) followed by the parking and stopping vehicle variable (PSV).

Traffic Signal Optimization Based on Fuzzy Control and Differential Evolution Algorithm

Urban traffic congestion is often concentrated at urban intersections. An urban road traffic signal control system is needed to prevent problems such as driving delays caused by frequent traffic congestions on trunk lines, exhaust emissions owing to frequent start and stop of vehicles, and fuel wastage due to long idling times. Maximizing the traffic capacity of an intersection and reducing the delay rate of vehicles has always been a problem for traffic control research. The coordinated control of urban traffic signals is regarded as a multi-objective optimization problem. A mathematical model for urban trunk traffic is studied herein. An average delay model, average queue length model, total delay calculation model for vehicles at intersections, and vehicle exhaust emission model are established to obtain an optimization model for a new traffic trunk coordinated control system. In addition, our study combines the fuzzy control theory with the adaptive sequencing mutation multi-objective differential evolution algorithm (FASM-MDEA). This new optimization method for traffic signal control at urban intersections is proposed as a solution for the traffic flow optimization model to solve the problem of traffic signal coordination and control of urban trunk lines. The simulation results demonstrate the effectiveness of the model optimization algorithm proposed in this study.

Analisis Tingkat Pelayanan Jalan Akibat Hambatan Samping Pada Ruas Jalan Gunung Sabeulah Kota Tasikmalaya

The problem that occurs on Jalan Gunung Sabeulah Tasikmalaya City is that there are shops which result in side barriers. In addition, the presence of vehicles stopping temporarily and vehicles coming in and out of the area around the road affects the level of road service. The aim of the study was to determine traffic volume and capacity and to determine the service level of the Gunung Sabeulah road section, Tasikmalaya City. The method used in this study is a survey method, namely by making direct observations at the research location to obtain data as a reference for conducting analysis. The data sources used in this research are primary data and secondary data. The results showed that the peak traffic volume on Jalan Gunung Sabeulah, Tasikmalaya City was 1396 pcu/hour and the road capacity was 2687.49 pcu/hour. The level of service for Jalan Gunung Sabeulah, Tasikmalaya City, Monday and Tuesday, 1 and 2 August 2022 is at level C, while on Saturday and Sunday, 6 and 7 August 2022 is at level B. The average service level is at level C with characterized by a stable flow with moderate traffic volume, speed begins to be limited by traffic conditions, moderate traffic density internal traffic obstacles begin to affect speed, the driver still has enough freedom to choose his speed and the lane used.